Data Engineer - Sparrow
SatelliteInnovations
Posted: July 10, 2025
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Quick Summary
Design, build, and maintain data pipelines and ETL workflows using Python, with a focus on scalability and performance.
Required Skills
Job Description
Satellite builds dedicated engineering teams for top U.S. -based startups. We help clients grow their products by sourcing world-class technical talent around the globe - and now we’re looking for a mid-level Data Engineer to join a fintech project - Sparrow Card.
You’ll become part of a collaborative engineering team, working closely with the client and contributing to the architecture and development of scalable data systems from the ground up.
What You’ll Do::
• Design, build, and maintain data pipelines and ETL workflows using Python.
• Write and optimize SQL queries for data transformation and validation.
• Develop data processing jobs in a Databricks-first environment using Spark and Delta Lake.
• Orchestrate data workflows using Airflow (DAGs, scheduling, dependencies, retries).
• Implement data quality checks to ensure reliability and consistency of data pipelines.
• Support the Principal Data Engineer and collaborate closely with the Data Engineering team.
• Work with cloud-based data platforms, primarily within AWS.
• Use Git for version control and contribute to basic CI/CD workflows.
• Participate in code reviews and continuous improvement of data solutions.nt.
We’re Looking For::
• 2-4 years of experience as a Software Engineer or Data Engineer.
• Strong hands-on experience with Python for building and automating data pipelines.
• Strong SQL skills for querying, transforming, and validating data.
• Experience working with Databricks (Spark, Delta Lake).
• Hands-on experience with Airflow for workflow orchestration.
• Familiarity with AWS fundamentals in a cloud-based data environment.
• Experience building and maintaining ETL pipelines.
• Experience with Git and basic CI/CD processes.
• Nice to have: experience with streaming data pipelines.
• Ability to work effectively in a collaborative, fast-paced environment.
• Good English communication skills (verbal and written).