nData Engineer/Architect
Nabout Leidos
United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$107,900.0 - $195,050.0
Working hours
Regular working hours
Job source
Tech stack
JavaScript (Programming Language)
Artificial Intelligence
Airflow
Data Analysis
Big Data
Information Engineering
Data Infrastructure
Data Integration
Extract Transform Load (ETL)
Data Security
DevOps
Python (Programming Language)
+10 more
PostgreSQL
Search Technologies
Software Engineering
Systems Modeling Language
Systems Integration
Retrieval-Augmented Generation
Generative AI
SC Clearance
Pgvector
Data Lakes
Job description
- Design and implementation of big data systems, ETL pipelines and Data Lakes / Lakehouse / Meshes.\n
- Design and implementation of schema and ontologies.\n
- Design and implementation of data foundation to support generative AI applications, including retrieval-augmented generation (RAG), and business analytics.\n
- Design and implementation of row/cell level data access control.\n
- Hands-on software development using Python and/or JavaScript to support data integration and application functionality.\n
- Documentation of data definitions and designs.\n
Requirements
- 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 considered in lieu of a degree.\n
- US citizenship; Ability to obtain a Top Secret security clearance in DISS.\n
- 5+ years of experience with design and development of systems to analyze structured and unstructured large data sets from disparate sources.\n
- 5+ years of experience with principals associated with AI applications, including retrieval-augmented generation (RAG).\n
- Ability to develop tools, algorithms and queries to improve business performance.\n
- Ability to develop new technical solutions, including hands-on Python or JavaScript development, to achieve project goals.\n
- Ability to develop intelligent systems that analyze data, learn from patterns, predict outcomes, and make informed decisions autonomously.\n
- Strong verbal and written communication skills and ability to communicate data engineering and architectural concepts to non-technical audience.\n
- Experience working directly with product owners.\n, * Experience integrating and/or operating: Dagster, PostgresSQL, Alembic, pgvector \n
- Experience with digital Engineering (SysML).\n
- Experience with generative AI applications, including RAG, embeddings, and vector search.\n
- Experience with operational support to data foundation and devOps.\n
- Familiar with Medallion style architecture.\n
- Current Secret clearance in DISS.\n
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