McLean, VA

Salary
Posted
Jul 9, 2026
Location
McLean, VA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A senior-level data engineering role focused on designing and building production-grade pipelines for batch and streaming workloads, migrating legacy ETL processes to cloud-native ELT patterns on AWS and Snowflake. The work spans pipeline orchestration, data modeling, performance tuning, and governance. It suits an experienced engineer with deep hands-on knowledge of PySpark, Snowflake, and AWS services.

Senior level · 8+ years · National

Must have (7)
PySparkSnowflakeAWS or AirflowPythonSQLEMRRedshift

“or” means any one of them counts — you don't need all of them.

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What won't set you apart
SQL90%Python55%Snowflake42%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $142,568 (middle half $111,775–$173,013).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (4)

The title 'Data Engineer' carries no seniority level word, so advertised seniority is Unspecified; however, the 8–10 year experience requirement and the scope of responsibilities (production-grade pipelines, platform modernization, cross-functional collaboration) support a Senior classification.

AWS Step Functions and Airflow are listed together as interchangeable orchestration options ('Airflow or AWS Step Functions') in both the responsibilities and requirements sections — each is captured as the other's alternative.

The role sits between 15-1243 (Database/Data Architects — pipeline and warehouse design, Snowflake platform engineering, data modeling) and 15-1252 (Software Developers — production-grade PySpark code, streaming processing, Python engineering). 15-1243 was chosen as primary because the dominant emphasis is on designing and building data platforms, warehouses, and pipelines rather than general application software.

No compensation, degree requirement, or employment type is stated in the posting.

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