Data Engineers build and operate the systems that move data from its sources to the people, applications, analyses, and models that depend on it. They ingest data, transform it, organize it for use, and keep it accurate, secure, traceable, and available at scale. Their work turns fragmented files, documents, databases, application programming interfaces (APIs), and event streams into reliable data products.
Artificial intelligence (AI) is one important consumer of that work, alongside reporting, visualization, analytics, software, and operational systems. Some openings may involve preparing dependable data for machine learning, document retrieval, or AI evaluation. The center of the Role remains dependable data engineering from source to use.
You care whether data arrives, but also whether it is complete, timely, understood, authorized, and fit for use. You trace failures across sources, transformations, storage, and serving layers, and you improve recurring processes instead of working around them.
You collaborate well with source-system owners, software engineers, analysts, data scientists, AI Engineers, Machine Learning Engineers, security and governance specialists, and Development, Security, and Operations (DevSecOps) Engineers. You make data contracts and tradeoffs clear, distinguish a data problem from a model or application problem, and prefer ownership of an outcome to a narrowly assigned task.
Each opening will identify the experience, platform, tooling, data, performance, security, location, work-authorization, citizenship, suitability, clearance, and domain knowledge the work requires. Those requirements will vary, and no candidate is expected to cover every specialization.
An opening may emphasize extract, transform, and load (ETL), extract, load, and transform (ELT), batch or stream processing, data modeling, a warehouse or lakehouse, document extraction, a feature store, machine-learning data, search or vector indexing, retrieval-augmented generation data preparation, telemetry and feedback pipelines, data-governance implementation, or platform operations.
Specific openings may name Amazon Web Services, Microsoft Azure, Google Cloud, Spark, Airflow, Kafka, Flink, dbt, relational or nonrelational databases, data warehouses, lakehouses, search platforms, vector databases, Linux, container platforms, or infrastructure-as-code tools. OPEN Data Jobs will state those requirements with the opening rather than treat every technology in this Role description as universal.
OPEN Data Jobs connects artificial intelligence, data, and software professionals with federal-sector opportunities. OPEN Data Jobs is a division of Peregrine Advisors Benefit, Inc.
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Benefits
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening
