Jobs Data Engineer

Location: Remote
Duration: 3 months with the possibility of extension
 

We are looking for a Data Engineer / ETL Developer to join a data modernization project focused on migrating existing SSIS-based ETL processes to a new Microsoft Fabric environment.

This is a great opportunity to work on a business-critical migration initiative for a SaaS product in the Fleet Management industry while leveraging modern Microsoft data technologies.

Project Overview

The primary goal of the project is to analyze, migrate, and optimize existing SSIS processes within Microsoft Fabric, ensuring reliability, scalability, and data quality throughout the transition.

The client is based in Israel, and English will be the primary language of communication within the team.

This is a new client engagement with the potential for a long-term collaboration beyond the initial project phase.

Responsibilities

• Analyze existing SSIS packages and ETL workflows.
• Migrate ETL processes to the Microsoft Fabric ecosystem.
• Design, develop, and optimize data integration and transformation pipelines.
• Ensure data quality, consistency, and performance throughout the migration process.
• Troubleshoot and resolve issues related to ETL jobs and data pipelines.
• Collaborate with stakeholders to gather and understand business and reporting requirements.
• Participate in testing, validation, deployment, and post-migration support activities.
• Document technical solutions, data flows, and transformation logic.

Requirements

• 2–4 years of commercial experience as a Data Engineer, ETL Developer, or in a similar role.
• Strong understanding of ETL processes and data integration concepts.
• Hands-on experience with SQL and relational databases.
• Practical experience with SQL Server Integration Services (SSIS).
• Understanding of data warehousing, data modeling, and data transformation principles.
• Strong analytical and problem-solving skills.
• Ability to work independently in a remote environment.
• Good English communication skills.

Nice to Have

• Hands-on experience with Microsoft Fabric (strongly preferred).
• Experience with Azure Data Factory, Power BI, or other Microsoft data platform tools.
• Familiarity with cloud-based data architectures and analytics solutions.
• Previous experience with ETL migration or modernization projects.
• Knowledge of data governance and data quality best practices.

Interview Process

• 1–2 interview stages with the client.

What We Offer

• Fully remote work.
• Opportunity to work with modern Microsoft data technologies.
• Participation in a high-impact migration project.
• Potential for long-term cooperation after the initial 3-month engagement.
• International environment with English-speaking communication.

• We are looking for a Middle Data Engineer to support a short-term, time-sensitive data project. The role centers on building and running data processing workflows on AWS using Python and SQL. This is a focused, one-time effort — the ideal candidate can onboard quickly and deliver with minimal ramp-up.

   

• Responsibilities:

  Develop and run data processing and transformation workflows on the AWS data stack
  Write and optimize Python scripts for data manipulation and AWS automation (boto3)
  Query and process datasets using SQL and AWS Athena
  Run distributed data processing jobs on AWS EMR; manage data in S3
  Perform basic statistical analysis to support project goals
  Work within the existing CI/CD and Atlassian environment (Bamboo, JIRA, Confluence)

   

• Mandatory Skills Description:

  Python for data engineering — pandas, scipy
  boto3 (AWS SDK for Python)
  SQL
  Hands-on with AWS data services: Athena, EMR, S3 (basic working knowledge acceptable)

   

• Nice-to-Have Skills Description:

  Basic statistical analysis
  C++ (a plus, not required)

   

• Languages:
  • English: B2 Upper Intermediate

Project Description:

We are looking for a Middle Data Engineer to support a short-term, time-sensitive data project. The role centers on building and running data processing workflows on AWS using Python and SQL. This is a focused, one-time effort — the ideal candidate can onboard quickly and deliver with minimal ramp-up.

Responsibilities:

Develop and run data processing and transformation workflows on the AWS data stack
Write and optimize Python scripts for data manipulation and AWS automation (boto3)
Query and process datasets using SQL and AWS Athena
Run distributed data processing jobs on AWS EMR; manage data in S3
Perform basic statistical analysis to support project goals
Work within the existing CI/CD and Atlassian environment (Bamboo, JIRA, Confluence)

Mandatory Skills Description:

Python for data engineering — pandas, scipy
boto3 (AWS SDK for Python)
SQL
Hands-on with AWS data services: Athena, EMR, S3 (basic working knowledge acceptable)

Nice-to-Have Skills Description:

Basic statistical analysis
C++ (a plus, not required)

Languages:

English: B2 Upper Intermediate

Main Responsibilities:

Data Engineer is responsible for helping select, deploy, and manage the systems and infrastructure required of a data processing pipeline to support customer requirements.

You will work on cutting-edge cloud technologies, including Microsoft Fabric, Azure Synapse Analytics, Apache Spark, Data Lake, Data Bricks, Data Factory, Cosmos DB, HD Insights, Stream Analytics, Event Grid in the implementation projects for corporate clients all over EU, CIS, United Kingdom, Middle East.

Our ideal candidate is a professional passionated with technologies, a curious and self-motivated person.

Responsibilities revolve around DevOps and include implementing ETL pipelines, monitoring/maintaining data pipeline performance, model optimization

Mandatory Requirements:

– 3+ years of experience, ideally within a Data Engineer role.

– understanding of data modeling, data warehousing concepts, and ETL processes

– 2+ years of experience with Azure Cloud technologies

– experience in distributed computing principles and familiarity with key architectures, broad experience across a set of data stores (Azure Data Lake Store, Azure Synapse Analytics, Apache Spark, Azure Data Factory)

– Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)

– SQL-skills

– communication and interpersonal skills

– English —В2

Will be beneficial if a candidate has experience in SQL migration from on-premises to cloud, data modernization and migration, advanced analytics projects, and/or professional certification in data&analytics.

We offer:

– professional growth and international certification

– free of charge technical and business trainings and the best bootcamps (worldwide, including HQ Microsoft- Redmond courses)

– innovative data & analytics projects, practical experience with cutting-edge Azure data&analytics technologies at various customers’ projects

– great compensation and individual bonus remuneration

– medical insurance

– long-term employment

– ondividual development plan

About the company:

Kickbite is a fast growing all-in-one marketing analytic tool, which collects, analyzes, and visualizes e-commerce data all in one place. It provides actionable insights to all decision-makers to scale online sales and improve return of advertising spends. Website: https://www.kickbite.io/

Responsibilities:

- Creating and maintaining existing ETL processes

- Transform raw data and raw events into valuable data for business users

- Performing end-to-end data flow checks

- Integration with the new data sources

Requirements:

- 4-5 years of related experience

- Excellent knowledge of Python programming language

- Extensive experience with SQL DB's, Bigquery

- Strong knowledge of REST API

- Version Control Systems (GIT)

What we offer:

- Competitive level of compensation transferred directly to bank account

- Full-time remote work 40 hours per week (approximately from 10.00 to 18.00)

- 20 working days of vacation per year

- Paid sick leaves up to 2 weeks per year

- Free time for educational purposes

Important: after confirming your application on this platform, you’ll receive an email with the next step: completing your application on our internal site, LaunchPod. So keep an eye on your inbox and don’t miss this step — without it, the process can’t move forward.

Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a Lead Data Architect to design and evolve healthcare data architecture and lead database modernization initiatives across EMR, laboratory, pharmacy, and national health systems. You will define interoperability strategy using HL7 and FHIR standards, design REST API integration approaches, and support analytics and AI initiatives — working across SQL Server and PostgreSQL in a distributed systems environment. The role includes mentoring engineers and driving data quality and governance practices.

What you will do

• Design and evolve healthcare data architecture and data models;
• Lead database modernization, optimization, and scalability initiatives;
• Define healthcare interoperability strategy (HL7/FHIR);
• Design integration approaches for EMR, laboratory, pharmacy, and national health systems;
• Collaborate with engineering teams on architecture decisions;
• Support analytics, reporting, and future AI initiatives;
• Improve data quality, governance, and performance;
• Mentor engineers on database and integration best practices.

Must haves

• 7+ years in Data Engineering, Data Architecture, or Solution Architecture;
• Strong SQL Server and/or PostgreSQL experience;
• Experience with Non-SQL databases;
• Enterprise data modeling experience;
• REST API and integration experience;
• Experience with distributed systems;
• Strong architecture and design skills;
• HL7 and/or FHIR;
• Experience designing enterprise-grade database schemas and healthcare data models;
• Strong understanding of scalable software architecture and performance optimization;
• Experience working in Agile/Scrum environments;
• Experience with AI/ML tools to accelerate software development and testing;
• Upper-intermediate English level.

Nice to haves

• Healthcare / EMR / EHR experience;
• Analytics or data warehouse experience;
• Public health or regulated industry experience.

The benefits of joining us

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements
• 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.
• 5-minute introduction video

Synchronous stage – Live interviews

• Technical interview with our engineering team (scheduled at your convenience)
• Final interview with your future teammates

If it’s a match — you’ll get an offer!

Key Responsibilities:

• Automate data quality and reconciliation checks across varied storage layers, including Snowflake, SQL, and RDF/SPARQL databases
• Test and verify data lineage, governance, and visualization components using Snowflake, data catalogs (ie. DataHub), Thoughtspot, and other visualization tools
• Integrate test suites into the core infrastructure orchestrated by Apache Airflow and utilizing Iceberg table formats, while monitoring data pipeline health, alerting, and observability metrics using Prometheus and Grafana Cloud
• Establish AI Evaluation Loops (Evals) and Guardrails: Build rigorous verification protocols— including structural tests, checks, and watchdog agents—to validate AI-generated artifacts, catch false positives, and ensure all automated outputs are secure, reliable, and free from hallucinations.
• Integrate automated testing workflows into CI/CD pipelines using GitHub Actions, ensuring continuous stability and quality gates across all deployment environments
• Validate ETL and dbt transformations across Data Lakehouses, rigorously testing data progression through a Medallion Architecture
• Test and automate complex API workflows, validating data payloads across OpenAPI integrations, 3rd party APIs, GraphQL, and AWS APIs (specifically S3)
  ‍

Must Haves:

• Data engineering & data testing: dbt, data lakehouse concepts, Medallion architecture
• Databases & storage testing: SQL, Snowflake, AWS S3, Iceberg
• Integrating quality check into data pipelines: Apache Airflow
• API testing & automation: REST/OpenAPI, GraphQL
• Integrating test automation into CI/CD: GitHub Actions (or similar like ArgoCD/GoCD)
• Cloud / infrastructure and observability basics: Kubernetes (K8s), Prometheus, Grafana
  ‍

Nice to Have:

• Graph databases: RDF / SPARQL
• Data governance & analytics tools: DataHub, Thoughtspot
• AI/ML testing & MLOps: AI evals, guardrails, RAG, vector databases, AI drift monitoring
• Advanced / emerging data tech: StarRocks, DuckDB
• Regulated environments: GxP, 21 CFR Part 11, HIPAA
• Clinical / domain-specific data standards: CDISC, ODM, FHIR
• AI-native tooling: Cursor, Claude Code, Copilot, QA Wolf

Dataforest is looking for a Data Engineer to join an interesting software development project in the field of Cybersecurity. Our client’s platform offers Identity Insights drives real-time, multi-contextual digital forensics to protect new account opening workflows and expose fake accounts already in a customer database.

Requirements:
• 3+ years of hands-on experience in data engineering;
• 3+ years of commercial experience with Python;
• Advanced experience with SQL DBs (optimisations, monitoring, etc.);
• Advanced experience with PySpark;
• Solid understanding of ETL principles (architecture/ monitoring/ alerting/search and resolve bottlenecks);
• Familiar with AWS infrastructure (boto3, S3 buckets, etc);
• Experience working with large volumes of data;
• Understanding the principles of medallion architecture.

Responsibilities:
• Maintain data processing architecture using Python and PySpark that interacts with ScyllaDB & PostgreSQL.
• Work with Databricks infrastructure to ensure reliability, scalability, and cost efficiency.
• Proactively identify bottlenecks and suggest technical improvements.

Nice to have:

• Cassandra/Scylla

• PostgreSQL

• Pandas

• Experience with Kafka and Redis

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

We are looking for a Senior Data Engineer to join a project in the tech capital of the world – Silicon Valley.

Working hours are typically until 7–8 PM Kyiv time, plus a late call twice a month around 11 PM.
 

Project Idea

The project was founded back in 2014 with the goal of connecting private and government universities with regular people like we are. You have a variety of auditoriums, gyms, classrooms, and other venue options available for community use –
schedule facility uses and manage requests from the community all in one place.

Just imagine that you’re a football player and you can rent a football field at Harvard to play with your friends. Amazing, right?

Must have:

• 5 + years of experience in Data Engineering or related roles;
• Strong SQL skills and hands-on experience with PostgreSQL (including Aurora Serverless);
• Solid knowledge of Python for data processing and automation;
• Experience building and maintaining ETL/ELT pipelines using cloud-native tools (e.g., AWS Lambda, S3, SQS);
• Proven experience working with MongoDB and MongoDB Atlas, including event-driven architectures using Atlas Triggers, Stream Processing;
• Proficiency with dbt for building modular, testable, and well-documented data transformation workflows;
• Good understanding of data modeling principles for OLAP/OLTP systems, including normalization and dimensional modeling;
• Demonstrated experience designing and implementing data warehouses and data marts;
• Working knowledge of Node.js, particularly in backend logic tied to data ingestion or transformation workflows;
• Familiarity with cloud data platforms (e.g., AWS) and serverless computing patterns;
• A technical degree (e.g., Computer Science, Engineering, Math) is a plus;
• Upper-Intermediate English or higher for effective communication and documentation.

Soft skills:

• Proactive – you take ownership and act without waiting for direction;
• Detail-oriented – you deliver accurate, high-quality work;
• Initiative-driven – you’re eager to improve processes and take action.

Responsibilities:

• Design, implement, and maintain scalable and reliable data pipelines using Python, dbt, and AWS Lambda;
• Build and optimize data architectures to support analytics, reporting, and machine learning use cases, including data warehouse and data mart modeling on PostgreSQL (Aurora Serverless);
• Develop and manage ELT workflows that extract data from MongoDB (using Atlas triggers) and load into staging and production layers in PostgreSQL;
• Ensure data consistency and lineage by applying robust data quality checks, auditing, and reconciliation logic;
• Collaborate with cross-functional teams to gather data requirements, understand business logic, and translate them into efficient data models and transformations;
• Monitor and troubleshoot SQS/Lambda-based ingestion pipelines, addressing issues related to concurrency, message processing, and data duplication;
• Contribute to the semantic layer design used by BI and reporting tools to ensure consistency and accessibility of business metrics;
• Maintain and evolve dbt models (staging, intermediate, and marts) aligned with software engineering and analytics best practices;
• Drive continuous improvement in data engineering processes and data governance standards, ensuring scalability, maintainability, and security.

About UAPP.AI 

We are a product company building AI-powered mobile applications used by over 10 million people in 150 countries. We own the entire product lifecycle — from the initial idea to large-scale global implementation. We thrive in a fast-paced environment, making data-driven decisions without unnecessary bureaucracy. If you value autonomy, rapid releases, and seeing the direct impact of your work, you will fit right in.
 

The Role 
We are looking for a Senior DevOps Engineer to take full ownership of the infrastructure for our ambitious new project in the Cloud Gaming & Streaming space. Your primary mission is to build a high-performance, fault-tolerant system capable of handling massive loads and streaming content to thousands of concurrent users.
 

Key Responsibilities

• Ensure high availability and seamless scalability of infrastructure supporting thousands of servers.
• Automate server setup and deployment using Terraform and modern configuration management tools.
• Architect and optimize systems for high-load environments.
• Drive incident response and troubleshooting to maintain product stability.
   

Requirements

• Experience: 4+ years in a DevOps role with hands-on experience in supporting high-load systems.
• OS Expertise: Deep understanding and practical experience in both Linux and Windows administration.
• Architecture: Experience with microservices and restoring stability in distributed systems.
• IaC: Proficiency in Terraform for Infrastructure as Code.
• Automation: Strong scripting skills for automation and server auto-setup.
   

Nice-to-have

• Understanding of data streaming principles and previous experience in the field.
• Basic knowledge of C++ development (to collaborate effectively with the core team).

What We Offer

• Real Impact: Direct influence on the tech stack of a Cloud Gaming platform with a potential million-user audience.
• Ownership: Maximum autonomy in choosing tools and approaches to solve infrastructure challenges.
• Fast-Paced Culture: A product-driven environment where decisions are made quickly and new ideas are implemented in days.
• Flexibility: 100% remote work with a flexible schedule.
• Compensation: Competitive salary (to be discussed individually based on technical interview results).
•  

Gypsy Collective is looking for a DWH Engineer to join our team and help build scalable, reliable, and high-performance data warehouse solutions that support analytics and business decision-making. We are looking for an experienced and proactive engineer who can work across the full data lifecycle - from ingestion and modeling to optimization, monitoring, and automation - while collaborating closely with analysts, developers, and business stakeholders.

🧭 What makes you a great match:

• Strong SQL skills: complex queries, CTEs, window functions, analytical queries (5+ years experience);
• Knowledge of Python or other scripting languages for data transformations (4+ years experience);
• Deep understanding of DWH concepts: ETL/ELT, Data Vault, Kimball, Star/Snowflake schemas (5+ years experience);
• Experience with Airflow or other data pipeline orchestrators (5+ years experience);
• Hands-on experience with modern DWH and query engines: BigQuery, Snowflake, Redshift, ClickHouse, Vertica, AWS Athena, Trino (5+ years experience);
• Confident use of Git; experience with team workflows (pull requests, rebasing, merge conflict resolution (5+ years experience);

• Understanding of server and cloud infrastructure: basic skills in configuration, maintenance, monitoring, and load control (3+ years experience).

   

⭐ Nice to have:

• Experience with CDC tools and streaming data sources;
• Knowledge of Docker, Kubernetes, and Infrastructure as Code (Terraform);
• Experience with cloud platforms such as AWS, GCP, or Azure;
• Familiarity with data governance, data cataloging, and lineage tools.

📅 Your daily adventures include:

• Designing, building, and maintaining scalable Data Warehouse architectures aligned with business needs;
• Developing and optimizing ETL/ELT pipelines using Python, Airflow, and custom solutions;
• Working with DWH/Data Lake technologies including PostgreSQL, Trino, and BigQuery;
• Implementing incremental loads, CDC, backfills, and reprocessing strategies;
• Optimizing query performance, data models, and pipeline execution;
• Ensuring data quality through validation, automated testing, monitoring, and alerting;
• Integrating new data sources (APIs, third-party systems, raw data) without disrupting existing pipelines;
• Collaborating with analysts, engineers, BI teams, and business stakeholders to translate requirements into scalable data solutions;

• Reviewing code, mentoring engineers, and contributing to data engineering standards and best practices.

   

Benefits

• 💸 Flexible payment options: choose the method that works best for you.
• 🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more - just to show we care.
• 📈 Learn & grow: We cover courses and certifications - and offer real opportunities to grow your career with us.
• 🥐 Benefit Сafeteria: Choose what suits you - sports, language courses, therapy sessions, and more.
• 🎉 Stay connected: From team-building events to industry conferences - we bring people together online, offline, and on stage.
• 💻 Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow.
• 🕘 Your schedule, your rules: Start your day at 9, 10, or even 11 - we care about results, not clock-ins.
  
  If this role sounds like a good fit for you, we’d love to hear from you — apply and tell us a bit about yourself.

• Project Description:

  Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and currently has offices in Toronto, London, Hong Kong, New York, São Paulo, Luxembourg and Mumbai.
  Client attracts and selects high-caliber individuals from top-tier institutions around the globe. Join our team and look forward to:
  • Diverse and inspiring colleagues and approachable leaders
  • Stimulating work in a fast-paced, intellectually challenging environment
  • Accelerated exposure and responsibility
  • Global career development opportunities
  • Being motivated every day by important social purpose and unshakable principles
  • A deeply rooted culture of Integrity, Partnership and High Performance
  If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.

   

• Responsibilities:

  • Manage timelines/deliverables within the team towards the successful delivery of projects.
  • Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
  • Develop solutions that are in line with client's technology biases, deliver efficiency and scalability, and enable new trading activities.
  • Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.

   

• Mandatory Skills Description:

  • Experience in Python in an enterprise environment, covering the whole development life cycle
  • Experience with web development using React
  • Agile/scrum/Jira/confluence/Git
  • Experience with Cloud technologies, preferably AWS (S3, Athena, EKS, EC2, Redshift, CloudWatch, Step Functions)
  • Proficiency in CI/CD pipelines
  • Unit and integration testing
  • Airflow
  • SQL
  • Terraform
  • Node.js

AppsFlyer is known for its massive backend production.
At any given moment thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests and communicating on a massive scale.

To maintain the universe we call AppsFlyer, we practice modern production operations with a complete self-serve CI/CD platform, a highly integrated observability stack for our micro-services, backends, and infrastructure, a culture of ownership and eagerness for quality.

The Analytics group is responsible for showing our clients the stories their data is telling. Through complex aggregation, mission tailored analytical databases and carefully crafted APIs we are able to provide slice and dice analysis in our beautiful dashboards and through the use of external integrations.
Our group mixes disciplines from back-end, data, AI and front-end engineers and we’re looking for great Data-Oriented Backend Engineer developers that are passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goal: to be the best analytics suite in our business market.

What you’ll do

• Develop end-to-end, both client-facing and data infrastructure features, from data processing to database choice and modeling implementation
• Collaborate with product managers and software engineers to deliver complex products.
• Analyze and improve performance, scalability and stability of our systems, environments and tools.
• If you’re up to the challenge — Speak at meetups, write blog posts, speak at conferences, contribute to existing open source projects and release new open source software.

What you have

• 3+ years of development experience with a passion for excellence
• Experience in data engineering with a focus on Apache and Scala-Spark / py-spark)
• Experience with high throughput, low latency, mission-critical distributed systems
• Great communication skills in English
• B.Sc. in Computer Sciences or an equivalent.

Bonus Points

• Experience with large-scale production databases
• Experience with Airflow
• Strong server-side skills.
• Experience production grade BigQuery ETL and DBs.
• Experience with production grade GO BE services.
• Experience with production grade Clojure BE services.
• An “AI mindset”: stays up to date with the AI landscape, explores tools like Cursor or GitHub Copilot, and looks for ways to boost productivity through AI
• Recommended by an AppsFlyer employee

Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.

“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

Many significant top-tier customers and partners consume their AppsFlyer’s data via various interfaces on a considerable scale. One of these interfaces is our Data Warehouse, which stores colossal amounts of data produced by all our product teams. On top of that, we develop the business service layer that serves our customers. Being in the front on such a scale requires being at the top of everything the team does — from complicated business logic through interesting technical challenges that have a massive impact on the performance and cost of our data pipelines to the immediate feedback we receive from our clients when a new feature or improvement is released.

The team constantly collaborates with the Platform and Business to provide the most efficient solution for our data exposure. The collaboration includes a deep understanding of our technology, coping with the rising scale, having POCs for a never-ending effort to find the next best technology available to benefit our customers and us, and more.

Some of the technologies we currently use:

• Java
• Clojure
• GCP & AWS hosted solutions
• K8s
• Kafka
• DataDog

What you’ll do:

• Be a part of the team that owns and evolves AppsFlyer’s Data Warehouse
• Own and develop AppsFlyer products and features end-to-end — from design to production
• Work with petabytes of data flowing through AppsFlyer pipelines
• Solve diverse, complex problems at scale, with low clarity of the solution approach
• Collaborate with Product Managers and Software Engineers to deliver value to customers
• Analyze and improve the performance, scalability, and stability of AppsFlyer’s products, environments, and tools
• Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale

What you have:

• 3+ years of development experience with a passion for excellence
• Experience in JVM languages
• Hands-on background with production systems
• Experience in building APIs for server-client applications
• Strong SQL knowledge
• Ability to grasp new languages, systems, and frameworks fast
• A team player with the drive to get things done and lead others along the way
• Good communication skills, spoken and written English

Bonus points:

• Experience in Clojure
• Exposure to large-scale distributed databases or enterprise data warehouses (BigQuery, Snowflake, etc.)
• Software system design experience
• Experience in building ETLs using Spark Scala
• Familiarity with the Google Cloud Platform
• B.Sc. in computer science or equivalent
• Recommended by an AppsFlyer employee

Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.

“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

The ROI360 organization’s goal is to help user acquisition managers and monetization managers optimize the business performance of their mobile marketing campaigns. We help our customers understand the real value (value for money) of their mobile marketing efforts.

To achieve this goal, we build a distributed SaaS platform to collect, normalize, index, and serve cost and revenue data from 100+ marketing platforms such as Facebook, Google, Ironsource, and more — at scale.

What you’ll do:

• Develop and enhance our data collection platform.
• Solve diverse, complex problems at a large scale.
• Collaborate with Product Managers and Software Engineers to deliver value to customers.
• Analyze and improve the performance, scalability, and stability of AppsFlyer’s products, environments, and tools.
• Continuously learn and evaluate new technologies in the effort to perfect our products and adapt to the ever-growing scale.
• Take an active part in our on-call cycle and monitor the system.

What you have:

• 3+ years of backend engineering experience with a passion for excellence.
• Solid knowledge in: Kafka, SQS, K8S, Postgres, and event-driven systems.
• Experience with large-scale SaaS production services and databases.
• Experience with cloud platforms (e.g. AWS, GCP).
• Proficiency and ability to code well in at least one language (Java / Go / Clojure / etc.).
• Proficiency with database technologies such as SQL / Athena / BigQuery.
• A team player with a strong sense of ownership.
• Ability to grasp new languages, systems, and frameworks quickly.
• A drive to get things done, especially as part of a team.
• Ability to dive in quickly to complex systems.
• B.Sc. in Computer Science or an equivalent.

Bonus points:

• Experience in functional programming.
• Hands-on experience with Clojure.

Benefits Package includes:

• Health Insurance
• Paid Unlimited Vacation Days + all national holidays + additional recharge days
• Meals Reimbursement
• Sport Reimbursement
• Breakfast in the office
• Mental health program
• Team building, happy hours, and other team activities
• Paid sick days
• Snacks, fruits & ice cold beer
• All new team members are provided with a brand-new Mac laptop with 2 monitors and a Starter package

Our Culture

As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all of our employees, customers, and partners.

“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.”
— Oren Kaniel, CEO