A small government analytics consultancyHiring

Data Engineer

  • Remote, United States
  • Mid-level
  • Posted 8 days ago
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In one line

Data engineering role on a small team serving federal health agencies, building pipelines in Python and SQL on AWS; remote within the continental US.

About the role

Suits someone who likes turning messy structured and unstructured data into datasets that analysts and AI work can rely on. Work happens alongside data scientists, analysts and software engineers, with a focus on dependable production pipelines.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Mid-level
Skills
Python, SQL, Dagster, Apache Airflow, AWS Step Functions, Git, AWS
Posted
27 Oct 2026
Last checked
3 Nov 2026

What you will do

  • Build and maintain data pipelines and the platforms they run on
  • Design relational and analytical models and integrate data from several sources
  • Keep production workflows reliable with testing, logging and monitoring
  • Write documentation and work with data scientists, analysts and engineers

What they look for

  • Four or more years in data engineering, including ETL or ELT work and data architecture
  • Degree in computer science, engineering, mathematics or a similar field
  • Strong SQL: complex joins, window functions, query tuning and debugging
  • Python for ingestion, transformation and automation, plus orchestration tools such as Dagster, Airflow or AWS Step Functions

Nice to have

  • Kubernetes, especially Amazon EKS, and containerized workloads
  • OpenSearch, Apache Iceberg, DuckDB and columnar formats like Parquet

Benefits

  • Competitive salary and benefits
  • Health insurance with premiums fully paid by the employer

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Questions about this job

Is this a remote job, and where can I work from?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a mid-level role. The posting asks for: four or more years in data engineering, including ETL or ELT work and data architecture; degree in computer science, engineering, mathematics or a similar field; strong SQL: complex joins, window functions, query tuning and debugging. Skills it names include Python, SQL, Dagster, Apache Airflow.

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A small government analytics consultancyRemote, United States
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