Senior Data Engineer
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Job Description
Senior Data Engineer building reliable data pipelines and models for LMI’s federal national security applications. Supporting AI, analytics, deployment, and mission-user workflows.
Responsibilities:
- Investigate source systems and data with mission users
- Define entities, relationships, and quality expectations needed for applications
- Build ingestion and transformation pipelines for structured data, documents, APIs, and operational records
- Reconcile inconsistent identifiers and schemas, model useful relationships, and document definitions and assumptions
- Implement quality checks, lineage, freshness monitoring, and access controls
- Build pipelines that can be tested, monitored, rerun, and safely recovered
- Partner with software and AI engineers to serve reliable application data and prepare information for retrieval and analysis
- Support initial deployment, resolve data failures, and transfer pipelines, documentation, and operating procedures to sustaining teams
Requirements:
- Strong SQL and Python skills, with production ownership of ingestion, transformation, and relational data modeling
- Experience turning inconsistent source data into maintained datasets or data products used by applications or decision-makers
- Experience with a production orchestration and transformation stack such as Airflow or Dagster and dbt or SQLMesh, or comparable tools
- Experience with schema changes, data quality testing, lineage, permissions, and diagnosis of failed or incomplete pipelines
- Software engineering practices for data, including version control, automated tests, CI/CD, and reproducible deployment
- Ability to explain data definitions and limitations, work through ambiguous requirements, and collaborate with application engineers and users
- Demonstrated use of AI coding tools or agents, with independent review, testing, and security checks of generated code
- Travel up to 50% for user engagement, deployment support, and forward deployed delivery
- Active Secret Clearance Required
- Preferred: Experience with Palantir Foundry pipelines and ontology development, Databricks, or comparable enterprise data platforms
- Preferred: Experience with Spark or PySpark, event streaming, document ingestion, entity resolution, or semantic modeling
- Preferred: Experience with cloud data services, object storage, and containerized workloads in AWS, Azure, or Google Cloud
- Preferred: Experience with defense, intelligence, logistics, manufacturing, supply chain, workforce, or autonomy data and the controls governing its use
- Preferred: An active security clearance
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