Data Engineer – Architect

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and execute big data systems, ETL pipelines, and Data Lakes/Lakehouse/Meshes.

• Develop and establish schemas and ontologies.

• Construct a data foundation that supports generative AI applications, including RAG, and business analytics.

• Implement row/cell-level data access control.

• Engage in hands-on software development using Python and/or JavaScript for data integration and application functionality.

• Document data definitions and designs comprehensively.

• Specify the tools, schemas, and ontologies for the data foundation so that software engineers can implement them, and management can grasp their capabilities.

⛳️ Requirements

• Must be a U.S. citizen.

• Capability to obtain a Top Secret security clearance in DISS.

• Bachelor’s degree with 8+ or 12+ years of experience in a Science, Engineering, or Technology field, or a Master’s degree with 6+ or 10+ years of experience in a Science, Engineering, or Technology field.

• Additional experience may be accepted in lieu of a degree.

• Over 5 years of experience in designing and developing systems to analyze structured and unstructured large datasets from various sources, including ETL processes.

• More than 5 years of experience with AI application principles, including RAG, prompt and context engineering, and AI workflow orchestration and design.

• Proficient in AI agent configuration, management, and integration into automated workflows.

• Ability to create tools, algorithms, and queries that enhance business performance.

• Skilled in developing technical solutions through hands-on Python or JavaScript development and Python-based services.

• Capable of designing intelligent systems that analyze data, learn from patterns, predict outcomes, and autonomously make informed decisions.

• Excellent verbal and written communication skills, including the ability to convey data engineering and architectural concepts to non-technical audiences.

• Experience collaborating directly with product owners, including product ownership or product architecture experience.

• Preferred: Familiarity with integrating and/or operating Dagster, PostgresSQL, Alembic, and pgvector.

• Preferred: Experience with digital Engineering (SysML).

• Preferred: Background in generative AI applications, including RAG, embeddings, and vector search.

• Preferred: Experience providing operational support to data foundations and DevOps.

• Preferred: Knowledge of Medallion style architecture.

• Preferred: Current Secret clearance in DISS.

🏝️ Benefits

• Compensation that corresponds with the selected candidate’s background and expertise.

• Camera-on interview with the interviewer taking a picture for identification purposes if an offer letter is extended.