Algohouse

Data Engineer (ETL / Big Data / Streaming)

About Intela

Intela builds AI products and also operates as a B2B outstaffing partner. We help our clients hire strong engineers for long-term projects. This role is for one of our USA clients.

About the role

We are looking for a Data Engineer who can design and build data pipelines at scale. The focus is on large datasets or high-throughput data streams, data quality, and performance.

Responsibilities

— Design and build data pipelines (batch or streaming)

— Process large volumes of data (millions to billions of records)

— Handle data validation, deduplication, and consistency

— Ingest data from files, cloud storage, or streams

— Prepare data for analytics

— Make and explain architectural decisions

Requirements

— Strong Data Engineering experience

— Solid SQL and database knowledge

— Experience with ETL and large-scale data

— Experience with batch or streaming processing

— Good programming skills (Java or similar)

— Ability to design pipelines and explain choices

Nice to have

— Kafka, Redis, Elasticsearch

— Cloud platforms (AWS, GCP, Azure)

— Real-time data processing

AI

— Uses AI tools in development or willing to learn

— Can review and validate AI-generated code

If you have experience with data at scale, apply.

About the role
We are looking for a Middle Java Backend Engineer to join our team and work on developing and supporting backend services.

You will be involved in building REST APIs, working with databases, and integrating with external systems.

Responsibilities

• Develop and maintain backend services using Java and Spring Boot
• Build and support REST APIs
• Work with PostgreSQL (schema design, query optimization, transactions)
• Integrate with external services via HTTP APIs
• Implement authentication and authorization (JWT, role-based access)
• Work with file storage (S3 / MinIO)
• Write tests and support existing functionality

Requirements

• Experience in backend development with Java and Spring Boot
• Experience building and supporting REST APIs
• Good knowledge of Spring Web, Spring Data JPA, Hibernate, Spring Validation
• Practical experience with Spring Security, OAuth2 Resource Server, JWT, role-based access
• Solid experience with PostgreSQL (schema design, query optimization, transactions)
• Experience managing database migrations with Flyway
• Experience integrating external services via HTTP APIs
• Experience working with S3 / MinIO or similar storage
• Experience with testing: JUnit 5, Spring Boot Test, integration tests
• Experience with Gradle, Docker, Git

Nice to have

• Experience with Testcontainers
• Experience with Keycloak or similar IAM / SSO solutions

About the company
Intela is a product ecosystem with 12 technology products across different domains. We are currently looking for a Python Developer for a project focused on large-scale data processing and high-load systems.

About the role

This is a highly technical role for an engineer who is comfortable working with data-intensive systems, performance optimization, and scalable architectures.

You will work on:

• large-scale data processing
• high-performance systems
• distributed architectures
• data pipelines and computations

Responsibilities

• Design and develop backend and data processing systems
• Build and maintain scalable data pipelines
• Work with large volumes of data (batch and streaming)
• Optimize system performance (CPU, memory, I/O)
• Participate in architecture and technical decisions
• Work with distributed systems

Requirements

• 4+ years of Python experience
• Strong understanding of Python internals (memory, concurrency)
• Experience with large-scale data processing
• Hands-on experience with NumPy / Pandas or similar tools
• Experience with data pipelines / ETL
• Understanding of distributed systems
• Experience with Kafka or similar streaming systems
• Strong SQL and database experience

Nice to have

• Dask / Spark / Ray
• Airflow or similar orchestration tools
• Experience with high-performance computing
• Machine learning or data science background
• Performance optimization and profiling experience

About the company

Intela is a product ecosystem with 12 technology products across different domains. One of the directions within the group is a dedicated outstaffing agency that helps our long-term partners build strong engineering teams.

We are currently looking for a strong Java Engineer to join a US-based project in the FinTech space. The platform focuses on monitoring financial market activity, detecting suspicious behavior, and helping organizations ensure transparency and regulatory compliance across financial systems. The product processes extremely large volumes of data and events in real time. 

About the role
We are looking for a Senior Java Engineer with strong experience in data pipelines and database-heavy systems. The engineer will work on backend services and data processing infrastructure responsible for handling extremely large volumes of events and financial data.

This role requires a hands-on engineer who can independently design and architect scalable data processing systems and pipelines.

Responsibilities
• Design and develop backend services using Java
• Architect and implement scalable data pipelines and data processing workflows
• Work with large volumes of structured and unstructured data
• Design reliable data models and database interactions
• Improve performance, scalability, and reliability of high-load systems
• Participate in architecture and technical decision-making

Requirements
• 5+ years of professional software engineering experience
• Strong Java backend development experience
• Experience designing and building data pipelines and large-scale data processing systems
• Strong experience with SQL and database design
• Experience working with ETL processes and data transformation pipelines
• Understanding of distributed systems and high-load architectures
• Experience working with technologies such as Kafka, Spark, Flink, or Airflow is highly desirable
 

Nice to have
• Experience with streaming or event-driven systems
• Experience with cloud environments
• FinTech or high-scale data platform experience

Interview process
• Technical interview with the Intela engineering team
• Technical interview with the client team (includes an AI-assisted live coding session)
• Final conversation with the co-founder

Engagement model
• B2B contract