remote
Data Engineer III - TSP LLC
Data Engineer
Lead data engineering initiatives by designing, building, and maintaining cloud‑based data pipelines and analytics platforms using Python, SQL, AWS, Snowflake, and Airflow for federal government clients.
About the role
Key Responsibilities
- Architect, develop, and maintain scalable ETL pipelines on AWS using Python, SQL, and Apache Airflow.
- Design and implement data warehouses and lakehouse solutions in Snowflake, ensuring optimal data modeling and performance.
- Collaborate with data scientists, reporting teams, and business stakeholders to translate requirements into robust data integration solutions.
- Manage metadata, data lineage, and data quality frameworks to support reliable analytics.
- Provide technical leadership and mentorship to junior engineers, establishing best practices and coding standards.
Requirements
- 5+ years of hands‑on experience in data engineering, with a focus on cloud platforms (AWS) and modern data warehouses (Snowflake).
- Proficiency in Python and SQL for building and optimizing data pipelines.
- Strong knowledge of workflow orchestration tools such as Apache Airflow.
- Experience with data modeling, schema design, and performance tuning in large‑scale environments.
- Excellent problem‑solving skills and ability to work cross‑functionally with technical and business teams.
Skills
pythonsqlawssnowflake