Data Engineer

ECS is seeking a Data Engineer to work remotely.

The Data Engineer will support the design, development, and deployment of the foundational data pipelines, data products, and automation required to implement a scalable data mesh architecture at the Department of Homeland Security (DHS). This role is responsible for building secure and reliable ingestion frameworks, transforming mission data into reusable domain-oriented data assets, integrating systems with modern platforms such as Databricks, Snowflake, and Palantir, and ensuring high standards of data quality, performance, lineage, and observability across the enterprise.

Ideal Candidate Experience

• Data Engineering & Pipeline Development: 5–7+ years building scalable ETL/ELT

pipelines using Python, Spark, SQL, or similar technologies.

• Cloud Data Platforms (AWS preferred): 4–6+ years working with services such

as S3, Glue, Lambda, Redshift, EMR, or equivalents.

• Databricks/Snowflake Engineering: 3–5+ years designing notebooks, Delta Lake

pipelines, SQL transformations, Snowflake tasks/streams, and performance-optimized warehouses.

• Palantir Integration (Foundry preferred): 2–4+ years integrating data

sources, developing pipelines, or enabling interoperability between Palantir and broader data ecosystems.

• Data Quality, Cataloging & Lineage: 3–5+ years implementing data validation

frameworks, metadata tracking, and governance-aligned data documentation.

• API & System Integration: 3–5+ years integrating cloud, legacy, and

cross-domain systems using REST, event streaming, or messaging frameworks.

Qualifications

• 7+ years’ experience creating reliable, scalable, and secure data pipelines

that ingest, transform, store, and make data available to the business in near‑real‑time.

• BS degree in Computer Science or related field/equivalent experience.
• Ability to obtain a DHS Public Trust.