Senior Data Engineer

Design and build secure, reliable data pipelines that turn raw operational sources into usable intelligence.

• Create the data foundation for analytics, AI workflows, and decision systems.
• Build pipelines that handle changing schemas, incomplete data, and strict security requirements.
• Help teams trust the data they use to make operational decisions.

• Build batch and streaming data pipelines across structured and unstructured sources.
• Design data models, validation checks, lineage patterns, and quality controls.
• Implement secure ingestion, transformation, orchestration, and observability workflows.
• Work closely with data scientists, software engineers, and mission-facing teams.

• 5+ years of data engineering experience.
• Strong SQL, Python, and production ETL/ELT experience.
• Experience with data modeling, orchestration, observability, and access control.
• U.S. Citizenship is required.
• Must be capable of obtaining and maintaining a Top Secret security clearance.
• Comfort working with ambiguous mission, data, and engineering problems.
• Strong written communication and ability to explain technical decisions to technical and non-technical teams.

• AWS experience is a plus, especially secure cloud, Gov Cloud, serverless, data, or AI services.
• AI, machine learning, LLM, agentic workflow, or decision intelligence experience is a plus.
• Experience in defense, government, manufacturing, aerospace, logistics, or other mission-critical environments is a plus.

Hiring note

Anautics evaluates candidates based on role-relevant skills, judgment, ownership, and ability to work in high-trust environments. AWS and AI experience are strong pluses across this hiring plan.