Jobs Data Engineer

We are building a real estate intelligence platform focused on New York City property data, property owners, CRM history, contacts, public records, lead scoring, and opportunity detection.

This is not a simple Excel cleanup job. We need a serious Python Data Engineer / ETL Developer who can help us turn large real estate datasets into a clean, structured database that will power our internal software platform.

What We Are Building

We are building a platform that combines real estate data, CRM history, owner information, contact data, public records, lead scoring, opportunity queues, and future AI automation.

The system will organize:

• Property profiles
• Owner and company profiles
• Phone and email contact points
• CRM notes and follow-up history
• Public record data
• Source trace
• Relationship mapping
• Lead scoring
• Opportunity queues

• Future AI and automation features

   

Responsibilities

• Work with large CSV and Excel files
• Clean and normalize real estate data
• Build Python ETL pipelines
• Import structured data into PostgreSQL
• Create relationships between properties, owners, companies, contacts, and CRM activity
• Build deduplication and merge logic
• Build source trace logic
• Build data quality reports
• Help prepare data for dashboards, APIs, and future public records integrations
• Work closely with the technical lead and product team

• Help create a clean data foundation for the platform

   

Required Skills

• Python
• Pandas
• PostgreSQL
• CSV / Excel processing
• ETL pipelines
• Data cleaning and normalization
• REST API experience
• Ability to work with large datasets
• Strong attention to detail
• Ability to structure messy data into a reliable database

• Clear communication and ability to work independently

   

Bonus Skills

• Real estate data experience
• NYC property data experience
• NYC Open Data / Socrata API
• ACRIS
• DOB permits / violations
• PLUTO / MapPLUTO
• Address normalization
• Entity resolution and deduplication
• Data quality reporting
• CRM data experience

• Lead generation data experience

   

Ideal Candidate

You are detail-oriented, reliable, and able to think carefully through messy data. You do not just write scripts. You understand that clean data needs to support a real business system, including dashboards, CRM workflows, lead scoring, and future AI automation.

How to Apply

Please send:

1. Your experience with Python and data engineering
2. Examples of similar data projects
3. Your PostgreSQL experience
4. Your experience with CSV, Excel, ETL, and data cleaning
5. Your experience with real estate data or public data, if any
6. Your experience with APIs, especially public data APIs
7. Your hourly rate or monthly salary expectation
8. Your availability and preferred working hours
9. Your location and time zone

10. A short explanation of how you would approach this project

     

We are looking for a long-term team member, not a one-time freelancer.

Project description

We are looking for a Senior AWS DevOps / Cloud Infrastructure Engineer to support AWS infrastructure automation, customer environment deployment, and GitOps-based delivery.

Responsibilities

Design and implement reusable Terraform modules for AWS infrastructure.

Deploy and configure AWS services: VPC, IAM, EKS, RDS, Secrets Manager, FSx, Redis/ElastiCache, Kafka/MSK, EMR, AppStream.

Configure CI/CD pipelines using GitLab CI/CD or Azure DevOps.

Support GitOps deployment with FluxCD or Argo CD.

Deploy Kubernetes platform components such as external-secrets, controllers, Istio, monitoring, and runners.

Adapt deployment to customer AWS environments with existing VPCs, restricted IAM, network limits, or custom artifact repositories.

Troubleshoot infrastructure, networking, access, and deployment issues.

Prepare technical documentation, deployment instructions, and runbooks.

Skills

Must have

Strong hands-on experience with AWS.

Strong experience with Terraform and infrastructure-as-code.

Good knowledge of AWS networking: VPC, subnets, routing, security groups, NAT, private endpoints.

Experience with IAM roles and policies.

Experience with EKS and Kubernetes infrastructure.

Experience with GitLab CI/CD or Azure DevOps Pipelines.

Experience with AWS services such as RDS, Secrets Manager, S3, FSx, Redis/ElastiCache, Kafka/MSK.

Ability to troubleshoot complex cloud deployments.

Good communication and documentation skills.

Nice to have

FluxCD or Argo CD.

Terragrunt.

AppStream image preparation.

AWX or Ansible.

Istio or service mesh.

k3s.

EMR.

Monitoring stack setup.

Experience with restricted enterprise/customer AWS environments.

Experience importing existing AWS resources into Terraform.

Про продукт

Ми будуємо high-load platform для real-time обробки великих потоків даних з аналітичною надбудовою. Система працює з таблицями на 5+ мільярдів записів, обробляє дані в реальному часі і має складну подієво-орієнтовану архітектуру.

Що робитимеш

• Розвиваєш фічі у своїх доменах — від моделі і CQRS-handler-ів до контролерів
• Пишеш і оптимізуєш SQL-запити на великих таблицях (PostgreSQL, партиціонування, EXPLAIN)
• Працюєш з OpenSearch: запити, агрегації, розуміння ETL-пайплайну
• Інтегруєш і підтримуєш обмін повідомленнями з Python-сервісами через RabbitMQ
• Береш участь у code review, покриваєш код unit-тестами
• Документуєш архітектурні рішення, аналізуєш production issues

Шукаємо

• 4+ роки комерційного досвіду на Node.js / TypeScript
• NestJS (або Express/Fastify з розумінням DI та модульності — готовий швидко зануритись у Nest)
• DDD / CQRS — розуміння принципів і бажання працювати в цій парадигмі
• PostgreSQL — складні запити, JOIN-и, індекси, базове розуміння EXPLAIN
• Брокер повідомлень (RabbitMQ / Kafka / SQS) — async-обробка, retry, idempotency
• OpenSearch / Elasticsearch — базовий досвід або готовність швидко вивчити
• Git flow і робота через MR/PR

Буде плюсом

• Production-досвід з партиціонованими таблицями / оптимізація SQL на великих обсягах
• AWS або інший хмарний провайдер (EKS, ECS, Kinesis, Lambda)
• Python для скриптів
• Sentry / Grafana / OpenTelemetry для дебагу production issues
• Досвід з event-driven архітектурами і eventual consistency

Технологічний стек

Backend: TypeScript 5, Node.js, NestJS 10

Архітектура: DDD + CQRS, Event-driven, Eventual consistency

Бази даних: PostgreSQL (5 млрд записів/таблицю), Redis

Пошук: OpenSearch

Черги: RabbitMQ, Kinesis Streams

AWS: VPC, EKS, ECS, S3, Kinesis, Lambda

Observability: Sentry, Grafana, OpenTelemetry

CI/CD: GitLab

Скрипти: Python

Welcome to LITSLINK — a top software development company.

We are looking for a Middle AI/ML Engineer to join our growing AI practice.

You will work on client and internal projects focused on Generative AI, LLM-powered applications, AI Agents, RAG systems, Computer Vision, NLP, and intelligent automation solutions.

Please note: we are primarily looking for engineers with hands-on experience building GenAI solutions. Experience with LLMs, RAG systems, AI Agents, and AI-powered automations is highly preferred.

Tech Stack: Python, OpenAI, Anthropic, Gemini, Hugging Face, LangChain, LangGraph, LlamaIndex, RAG, AI Agents, Vector Databases, AWS/GCP/Azure

Key Responsibilities:

• Design, develop, and optimize AI-powered applications and services.
• Build solutions based on LLMs, RAG pipelines, AI Agents, and Generative AI technologies.
• Integrate AI systems with APIs, databases, and business platforms.
• Evaluate, optimize, and improve AI solutions.
• Collaborate with software engineers, product teams, and stakeholders.
• Conduct technical research and evaluate emerging AI technologies.
• Contribute to architecture decisions, code reviews, and engineering best practices.

Requirements:

• 2+ years of commercial experience in AI/ML engineering, AI Engineering, Data Science, or related roles.
• Experience building GenAI solutions is highly preferred.
• Practical experience with Generative AI and LLM-based applications.
• Hands-on experience building RAG systems, AI Agents, AI Assistants, or AI-powered automations.
• Strong Python programming skills.
• Solid understanding of Machine Learning fundamentals.
• Experience with PyTorch, TensorFlow, or the Hugging Face ecosystem.
• Experience working with OpenAI, Anthropic, Gemini, Hugging Face, or similar AI platforms.
• Experience with prompt engineering, LLM evaluation, and optimization techniques.
• Understanding of REST APIs and software development best practices.
• Strong analytical and problem-solving skills.
• Intermediate+ English level.

Nice to Have:

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or similar frameworks.
• Experience with vector databases (Pinecone, Weaviate, Qdrant, Chroma, etc.).
• Experience with AWS, GCP, or Azure.
• Experience deploying AI solutions to production environments.
• Knowledge of MLOps practices and model lifecycle management.
• Experience with Computer Vision or NLP projects.
• Experience mentoring junior engineers.

What We Offer:

• Opportunity to work on cutting-edge AI projects.
• Access to modern AI tools and technologies.
• Collaborative and innovative engineering culture.
• Professional development and career growth opportunities.
• Remote-first environment.
• Competitive compensation package.

Recruitment Process:

• HR Interview
• Technical Interview
• Offer

Format: Full-time / Part-time · Fully remote · Long-term Location: EU, CIS, Ukraine, Balkans · No citizenship restrictions

About the Role

We are looking for an experienced Windows System Engineer with a strong background in embedded and industrial computing. The goal is to configure, harden, and customize Windows for a dedicated kiosk-mode industrial product. The system runs a Unity-based application and is deployed on an industrial-grade single-board computer (SBC).

Responsibilities

• Configure Windows in Kiosk / Shell Launcher mode so that the Unity application starts automatically as the sole interactive shell, with no user access to the desktop, taskbar, or system UI
• Manage registration, versioning, and dependency chain of custom DLLs, ensuring correct loading order and compatibility across updates
• Set up Python-based background services as proper Windows services (NSSM, pywin32): auto-start, watchdog recovery, logging, and IPC with the Unity application
• Tune the system for specific hardware constraints: GPIO, serial peripherals, BIOS/UEFI settings, and thermal management
• Build reproducible OS images using DISM, WinPE, and unattend.xml for automated provisioning

Requirements

• Deep hands-on experience with Windows 10/11 IoT Enterprise: Shell Launcher v2, Assigned Access, UWF, Group Policy-based lockdown
• Strong knowledge of Windows internals: registry, services architecture, WMI, COM/DCOM, DLL side-by-side loading
• Solid PowerShell scripting skills
• Experience deploying Python services on Windows (pywin32, virtualenv, dependency isolation)
• Experience bringing up and validating Windows images on industrial SBCs or embedded x86 boards (Advantech, Kontron, Beckhoff, or similar)
• Understanding of Unity runtime requirements on Windows: DirectX dependencies, display and resolution management, crash recovery

Nice to Have

• Windows Autopilot or MDM-based provisioning for fleet deployment
• CI/CD pipelines for OS image building and validation
• Real-time or deterministic scheduling on Windows
• Secure Boot, BitLocker, and TPM configuration on industrial hardware

Important: Proven practical experience is essential. This role requires demonstrated hands-on expertise — candidates cannot simply prepare for the interview by studying the topic beforehand.

Industry: Energy / Commodity Trading
Location: Offshore / Remote
Start: ASAP / to be agreed
Workload: Full-time preferred
Language: English

The project focuses on building, maintaining, and optimizing scalable data pipelines, analytics tools, and automation solutions for high-impact commercial analytics across gas, LNG, power, and weather markets.
The client is expanding its analytics platform by integrating external data sources such as ENTSOE, EPEX, KPLER, MetDesk, WoodMac, and other market data providers. The goal is to structure and prepare data for advanced analytics, forecasting models, dashboards, and real-time or batch use cases in a dynamic trading environment.

Key Responsibilities

• Build and enhance scalable data pipelines and automation workflows on Azure
• Integrate external data sources via APIs, web scraping, and automation frameworks
• Develop end-to-end automated data solutions for gas, LNG, power, and weather markets
• Maintain and optimize existing databases, dashboards, toolkits, and API-based solutions
• Design and manage Snowflake data models with a focus on performance and scalability
• Support analytics teams by structuring data for models and advanced analytics use cases
• Enable reliable backend infrastructure for dashboards and GUI tools
• Consult and support real-time and batch analytics use cases in a trading environment
• Improve data quality, performance, and automation across the analytics platform

Must-Have Skills

• Strong hands-on experience with Azure Data Factory
• Strong experience with Databricks
• Experience with Azure Data Lake
• Strong knowledge of Snowflake, including data modeling and performance tuning
• Proficiency in Python
• Proficiency in SQL
• Experience with API integration
• Experience with automation workflows
• Experience building scalable data pipelines for large-scale data ingestion and processing

Nice-to-Have Skills

• Experience with web scraping
• Knowledge of real-time / event-driven data processing
• Experience in energy, commodity trading, gas, LNG, power, or weather analytics
• Experience working with external market data providers such as ENTSOE, EPEX, KPLER, MetDesk, or WoodMac
• Experience supporting analytics dashboards or GUI tools

Project details:
Start: flexible / to be agreed
Duration: initial 3 months with a very high chance of long-term extension
Workload: full-time preferred, 3 days per week also possible
Remote: primarily remote
Onsite: approx. 4 times per year for a few days within the EU
Location: candidate must be based in the EU
Language: English

The specialist will support the development and operation of an analytical platform across the full software development lifecycle, including cloud infrastructure, automation, CI/CD pipelines, security, deployment, migration, and operational support.

Responsibilities:

• Design, develop, test, secure, and operate Azure platform components
• Build and maintain Azure DevOps CI/CD pipelines
• Create reusable YAML pipeline templates, approvals, and environments
• Develop Infrastructure as Code solutions with Terraform
• Automate infrastructure and deployment processes with PowerShell
• Implement security-by-design principles and compliance requirements
• Troubleshoot pipelines, networking, identity, and service configurations
• Support go-live and migration activities
• Create technical documentation and transfer knowledge to operations/support teams

Must-have skills:

• Strong experience with Azure Cloud platforms
• Strong expertise in Terraform
• Strong expertise in PowerShell
• Experience with Azure DevOps pipelines
• Good knowledge of YAML pipelines, reusable templates, approvals, and environments
• Experience with Git-based workflows, branching strategies, code reviews, artifact and version management
• Experience working in regulated environments
• Strong understanding of security, compliance, and secure cloud configurations

Azure services experience:

• Azure Databricks
• Azure Data Lake Storage
• Azure Data Factory
• Azure Web Apps for Containers
• Azure AI Search
• Cosmos DB
• Azure Key Vault
• Azure Networking: VNets, hub-and-spoke, private endpoints, NSGs
• Microsoft Entra ID: managed identities, service principals, app registrations, RBAC
• Azure Policy and secrets management

Nice to have:

• Experience with observability tools such as Azure Monitor, Log Analytics, and Application Insights
• Experience with AI-assisted coding tools such as GitHub Copilot

Centralized Reporting and Analytics team covers company-wide corporate reporting needs. Interacting with internal clients (Delivery management and Corporate functions management) we build automated solutions in reporting and data analysis covering different internal company processes and practices.
Our team: around 20 people distributed in different countries but in close virtual cooperation.
Technologies used: Tableau and PowerBI as the main reporting tools, MS SQL database for our main data sources.

• Responsibilities:

  Tableau/PBI reports development and support:
  - Requirement clarification with the client
  - Preparation of data sources & setting up development task for the DWH team where needed
  - Draft version design & development and UAT with a customer
  - Setting up interactive elements in dashboards (actions, parameters-switchers, etc.)
  - Visibility permissions management (row-level security) inside a report
  - Technical documentation preparation
  - Release preparation and presenting for end-users
  - Controlling permissions on a site - project - workbook levels
  - Background tasks monitoring (extracts, subscriptions, etc.)
  - Reporting adoption & user's behavior monitoring (via in-built and custom tools)

• Mandatory Skills Description:

  2+ year of reporting experience with Tableau and/or PowerBI
  Strong skills in SQL
  Bachelor's Degree or higher education level
  Strong data analysis skills
  Good presentation and data visualization skills
  Great attention to details, structured and analytical approach, critical and logical thinking

Are you passionate about building scalable, reliable data systems that power real-world solutions? We are looking for a Senior Data Engineer to join our team and work remotely from Europe, Ukraine, or LATAM.

At Sigma Software, we partner with innovative companies to deliver cutting-edge technology solutions. This role offers the opportunity to design and operate a canonical data platform that integrates diverse external data sources, ensuring high quality and flexibility.

Why join us? You’ll work with modern technologies, collaborate with talented professionals across multiple regions, and have the freedom to experiment and innovate while contributing to impactful projects in the AdTech domain.

Customer

Our client is a fast-growing AdTech company focused on solving real-world challenges in digital advertising and data-driven marketing. They specialize in building highly resilient and scalable systems that encourage experimentation and innovation. Their data platform is designed to be both powerful and flexible, enabling engineers to introduce new ideas and leverage the latest technologies to optimize advertising performance and audience insights.

Project

The project involves developing and maintaining a canonical data platform that integrates multiple external data sources. It supports both full data loads and incremental updates, ensures high data quality, and leverages AI-assisted tools for monitoring and issue detection.

Key Technologies: Java, Scala, Apache Beam/Apache Spark, SQL, GCP Dataflow, REST APIs, AI-assisted tools, event-driven architectures

Responsibilities

• Design, build, and maintain reliable data pipelines to ingest and process data from external systems
• Implement integrations using Java or Scala, ensuring scalability and resilience
• Handle both full data loads and incremental updates efficiently
• Collaborate with engineering and product teams to align on integration and data needs
• Develop and maintain a unified internal data model
• Ensure data quality, detect and resolve incorrect or incomplete data
• Utilize AI-assisted tools to improve data quality and operational efficiency
• Monitor and optimize data pipelines for production readiness

Requirements

• At least 5 years of experience as a Data Engineer or Backend/Data Engineer
• Strong production experience with Java or Scala
• Experience with Apache Beam or Apache Spark
• Proven experience integrating external systems via REST APIs (pagination, rate limiting, token-based authentication)
• Strong data modelling skills with structured, relational data
• Solid SQL knowledge
• Experience with GCP Dataflow
• Experience operating data pipelines in production environments
• Strong communication skills and ability to collaborate across teams
• At least an Upper Intermediate level of English

WILL BE A PLUS:

• Experience with event-driven architectures or messaging systems
• Designing canonical schemas across multiple data sources
• Experience with LLM (Large Language Models)

Personal Profile

• Proactive and detail-oriented
• Thrives in collaborative environments
• Enjoys solving complex integration challenges
• Comfortable experimenting with new technologies
• Committed to improving data systems

Project Description

Founded in 2007, Rubicon Project’s pioneering technology created a new model for the advertising industry. Today, our automated advertising platform is used by the world’s leading publishers and applications to transact with top brands around the globe enabling them to reach more than 1 billion consumers.

Job Description

• Experience building and operating large-scale, high-throughput, enterprise apps
• 2+ years working experience in server-side Scala
• Working experience with data processing systems (Hadoop, Hive, Kafka, Spark)
• A strong understanding of algorithms, data structures, and an ability to recognize the business and technical trade-offs between different
  solutions
• Expertise in threading and concurrency
• Experience with automated testing frameworks (TDD, Mocking, Unit/Functional/Integration)
• Experience with SQL queries (MySQL is a plus)
• Experience with development and CI tools (maven, git, Jenkins, Puppet, Crucible, Jira, Airflow python is a plus)
• Experience working in a Linux environment.
• Expertise building software in an agile development environment
• Demonstrated strong English language verbal and written communication skills
• Shifted working hours 12pm till 8pm EEST timezone

Job Responsibilities

• Write production-ready code and unit tests that meet both system and business requirements.
• Respond to feature requests, bug reports, performance issues, and ad-hoc questions.
• Work collaboratively with multiple teams to deliver quality software.
• Comfortable in multi-tasking and fast-pacing dev process.
• Support operation of services in production.

We are a fast-growing technology company driven by data, innovation, and a commitment to continuous improvement. Our products and services impact thousands of users, and data plays a critical role in every strategic decision we make.

As we continue to scale, we are investing heavily in building a modern, reliable, and data-driven organization. Our BI and Data teams are at the center of this transformation, creating a robust data ecosystem that empowers teams across Product, Sales, Marketing, HR, Finance, and Operations.

We foster a collaborative environment where ownership, initiative, and curiosity are highly valued. Team members are encouraged to challenge the status quo, contribute ideas, and help shape the future of our technology landscape.

Joining us means becoming part of a company where your work has a direct impact on business growth, operational excellence, and the long-term evolution of our data platform.

What You’ll Be Doing

• Architect & Own: Lead the design and development of scalable data warehouse and BI solutions. You will make early-stage architectural decisions and own their long-term impact.
• Infrastructure as a Product: Build core data infrastructure and developer experiences that others rely on, ensuring high availability and system reliability.
• End-to-End ELT/ETL: Solve complex integration problems by sourcing data from structured and unstructured sources using Rivery, Python, and optimal ETL patterns.
• Data Quality & Governance: Implement frameworks for schema evolution, anomaly detection, and data freshness. You will determine security models based on privacy requirements and evolve governance processes.
• Strategic Collaboration: Partner with Engineers, Product Managers, and Data Analysts to conceptualize data needs and represent key insights in a meaningful way.
• Optimization: Assist in owning production processes, optimizing complex code through advanced algorithmic concepts to manage operational cost-benefit tradeoffs.
  
  What You’ll Bring (Requirements)
• Experience: 5+ years of experience in Data Engineering, Infrastructure, or Platform Engineering (ideally in organizations operating at a meaningful scale).
• Technical Mastery: 5+ years of hands-on experience with Python and SQL. Deep proficiency in data modeling (Star/Snowflake schema) and DWH methodologies.
• Cloud & Tools: Proven experience with Snowflake and AWS. Familiarity with Rivery or similar orchestration tools (like DBT) is a major advantage.
• Production-First Mindset: Track record of leading data initiatives end-to-end from design and building to shipping and operating production flows.
• Analytical Rigor: Ability to triage issues, resolve data quality problems, and design systems that handle system complexity with ease.
• Education: Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field.
  
  Why Join Us?
• Impact: You are joining at a stage where you can design the architecture "from scratch."
• Fast-Paced Culture: We operate in a "move fast and break things" environment. Perfect for those who love high autonomy and rapid iteration.

What We're Looking For

Seeking Alpha is looking for a Senior Data Engineer responsible for designing, building, and maintaining the infrastructure necessary for analyzing large data sets. This individual should be an expert in data management, ETL (extract, transform, load) processes, and data warehousing and should have experience working with various big data technologies, such as Hadoop, Spark, and NoSQL databases. In addition to technical skills, a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

The Senior Data Engineer will be engaged with the company as a contractor (Private Entrepreneur).

What You'll Do

• Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
• Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores. 
• Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
• Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
• Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
• Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
• Enhance the team's dev-ops capabilities.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 2+ years of proven experience developing large-scale software using an object-oriented or functional language.
• 5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses
• Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code
• Experience with AWS services, including EC2, S3, Athena, Kinesis/Firehose Lambda and EMR
• Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL
• Experience with data pipeline orchestration and scheduling using tools such as Airflow
• Strong problem-solving skills and the ability to work independently as well as part of a team
• High-level English - a must. 
• A team player with excellent collaboration skills.

Nice to Have:

• Expertise with Vertica or Redshift, including experience with query optimization and performance tuning
• Experience with machine learning and/or data science projects
• Knowledge of data governance and security best practices, including data privacy regulations such as GDPR and CCPA.
• Knowledge of Spark internals (tuning, query optimization)

Join a Company That Invests in You

Seeking Alpha is the world’s leading community of engaged investors. We’re the go-to destination for investors looking for actionable stock market opinions, real-time market analysis, and unique financial insights. At the same time, we’re also dedicated to creating a workplace where our team thrives. We’re passionate about fostering a flexible, balanced environment with remote work options and an array of perks that make a real difference.

Here, your growth matters. We prioritize your development through ongoing learning and career advancement opportunities, helping you reach new milestones. Join Seeking Alpha to be part of a company that values your unique journey, supports your success, and champions both your personal well-being and professional goals.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

We are looking for a Senior GIS Engineer to lead the integration of Esri map technology. The goal is to extend beyond surface satellite imagery and surface subsurface geological data to support exploration, planning, and operational decisions. You will also help us design a cost-predictable architecture for running Esri workloads in the cloud. 

Key Responsibilities:

• Integrate Esri (ArcGIS Enterprise, ArcGIS Online, ArcGIS Pro) with proprietary mining software.
• Build pipelines that combine drone captured imagery with deep-ground geological and geophysical data (boreholes, seismic, drone, LiDAR).
• Design Azure cloud architecture for Esri workloads.
• Develop cost monitoring, forecasting, and optimization mechanisms for ArcGIS cloud usage (credits, compute, storage, tile / feature services).
• Collaborate with geologists, data engineers, and product teams to translate domain requirements into GIS solutions.

Required Skills:

• 7/8+ years of hands-on GIS engineering experience, including the Esri ArcGIS stack (Pro, Enterprise, Online, REST APIs).
• Strong Python (ArcPy) and SQL.
• Experience with spatial databases (Databricks, Apache Sedona, PostGIS,).
• Experience deploying Esri / GIS workloads to Azure platform, including IaC and cost management (FinOps practices).
• Working knowledge of 3D geological / subsurface data formats and visualization (voxel models, boreholes, point clouds).
• Solid understanding of coordinate systems, projections, and geodesy.
• Fluent/Upper-Intermediate English skills.

Nice to Have:

• Domain experience in mining, oil & gas, or geosciences.
• Experience with Leapfrog, Petrel, Surpac, or similar geological modeling tools.
• Familiarity with Kubernetes, Docker, and CI/CD for GIS services.
• Open-source GIS exposure (QGIS, GDAL, GeoServer) as a complement to Esri.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Looking for a Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.

Skills requirements:
• 2+ years of experience with Python;
• 2+ years of experience as a Data Engineer;
• Experience with Pandas;
• Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
• Familiarity with Amazon Web Services;
• Knowledge of data algorithms and data structures is a MUST;
• Working with high volume tables 10m+.

Optional skills (as a plus):
• Experience with Spark (pyspark);
• Experience with Airflow;
• Experience with Kafka;
• Experience in statistics;
• Knowledge of DS and Machine learning algorithms..

Key responsibilities:
• Create ETL pipelines and data management solutions (API, Integration logic);
• Different data processing algorithms;
• Involvement in creation of forecasting, recommendation, and classification models.

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.

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client looking for a Platform Engineer to drive critical infrastructure initiatives across our backend systems, with primary ownership of our core platform.
This is a high-impact role where you'll architect scalable solutions that serve our entire engineering organization - core platform services that power our AI editing capabilities.
You'll have the opportunity to shape technical decisions across multiple domains while ensuring our platform systems are robust, reliable, and optimized for growth.

Key Requirements:
🔹 5+ years of experience as a Backend Engineer, with experience building platform services or shared infrastructure;
🔹 B.Sc in Computer Science, Software Engineering, or a related field from a well-known university;
🔹 Proven expertise in backend server development, using languages like Python, Scala, Go, or Java;
🔹 Solid understanding of system design principles, API architecture, and service-oriented architectures;
🔹 Proficiency with AWS services and cloud-based architectures;
🔹 Excellent communication skills for collaborating across engineering, product, and operations teams;
🔹 Proactive mindset, having the will and ability to find areas where optimizations can benefit the entire org;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Drive platform-level initiatives that improve scalability, reliability, and developer experience across our backend systems;
🔹 Collaborate with multiple departments to support new platform features and technical initiatives;
🔹 Monitor platform health, investigating and resolving incidents and reliability issues;
🔹 Develop and optimize shared platform services, APIs, and infrastructure used across engineering teams;
🔹 Create internal tools and frameworks that improve developer productivity and system reliability;
🔹 Drive initiatives to improve observability, monitoring, and operational excellence across our infrastructure;

Interview stages:
🔹 HR Interview;
🔹 Tech interview;
🔹 Client Interviews;
🔹 Reference check;
🔹 Offer;