Posted today
Dept of Homeland Security
Unspecified
Unspecified
IT - Data Science
Remote/Hybrid• (Off-Site/Hybrid)
Job Description
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
#ECS1
ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3300+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.
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.
- 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.
- Proficiency in Python, PySpark/Spark SQL, and scalable data processing patterns.
- Hands-on experience with Databricks notebooks, Delta Lake, Snowflake data modeling, and workflow orchestration tools such as Airflow, Databricks Jobs, or AWS Step Functions.
- Familiarity with Palantir Foundry data pipelines, ontology integration, or platform interoperability.
- Solid understanding of data mesh concepts, including domain ownership, data product design, and federated governance.
- Familiarity with semantic layer/knowledge graph technologies.
- Experience with data catalog tools (Glue Catalog, Collibra, Alation) and version-controlled development.
- Knowledge of federal security and compliance frameworks.
- Strong communication and documentation skills to collaborate with data product owners, mission stakeholders, and cross-functional engineering teams.
#ECS1
ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.
ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3300+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.
group id: 10112231A
