Data and Software Engineer (API)
Summary
Designs and builds high-performance RESTful APIs and data pipelines for a U.S. consumer-insights provider, using Python, Snowflake, AWS, and modern API standards.
Hi there! If you’re seeking a high-impact role within an ambitious and fast-growing software house, you might have just found your perfect match!
We are seeking a highly skilled Data /Software Engineer to join our team. You will be working with one of the biggest consumer insights providers in the U.S.
You will be responsible for architecting, building, and maintaining high-performance RESTful APIs that serve as the backbone of our data integration ecosystem. This position requires deep expertise in API development, data technologies, cloud environments, data clean rooms, and modern software engineering practices.
Working hours: Availability between 15:00–19:00 (CEST) is essential, with the remaining hours being flexible. Occasionally, there may be pre-scheduled calls with the US-based team after 20:30 CTE.
- Min. 5 years of experience as a back-end data/software engineer working with SQL (complex stored procedures), Python, Snowflake (SnowPipes), AWS (S3, Lambda, Airflow, Redshift, Athena, and Glue), and API technologies (OpenAPI/Swagger specifications, OAuth 2.0, JWT, GraphQL)
- Extensive experience building production-grade RESTful APIs with proven expertise in API design patterns, versioning strategies, and backward compatibility
- Demonstrated success integrating with external API vendors and managing complex API ecosystems with multiple third-party dependencies
- Experience with API testing frameworks, contract testing, and implementing comprehensive API monitoring and alerting systems
- Demonstrable knowledge of data clean room technologies (e.g., creating secure data shares using RBAC)
- Knowledge of all aspects of the SDLC as well as experience with Jenkins and setting up CI/CD processes
- Experience with security concepts (CCPA, GDPR, SSO, and JWT) and proficiency in data access controls (aggregation constraints, projection policies, row access policies, column masking, and differential privacy)
- Experience in modeling: Snowpark ML, TensorFlow