Sr Data Engineer at Omm IT Solutions
Mc Lean, VA
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Jul 12, 2026
Mc Lean, VA
Jul 20, 2026
What this job asks for AI summary
A senior-level data engineering role focused on designing and maintaining large-scale cloud data pipelines using PySpark, Snowflake, and AWS. Day-to-day work includes migrating legacy ETL workloads to cloud-native solutions, building batch and streaming pipelines, optimizing distributed Spark jobs and Snowflake queries, and implementing data quality and lineage tracking. Suits an experienced engineer with a background in enterprise or regulated financial environments.
Senior level · 6+ years · Washington-Arlington-Alexandria, DC-VA-MD-WV
“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
Roughly 50 people in the Washington-Arlington-Alexandria, DC-VA-MD-WV area plausibly meet what this posting asks for (database architects). range 10–75
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $166,452 (middle half $130,866–$200,954).
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 (8)
This role sits between data pipeline/lakehouse architecture (15-1243) and general software engineering (15-1252); the emphasis on designing Snowflake schemas, Iceberg tables, data models, and lakehouse architecture tips it toward 15-1243, but the heavy PySpark coding and AWS service integration make 15-1252 a credible alternative.
The posting is 100% on-site in McLean, VA — no remote or hybrid option is stated.
AWS IAM is listed in the required AWS ecosystem section but functions as a supporting service rather than a standalone skill gate; it is subsumed under the AWS requirement.
Airflow appears as an alternative to AWS Step Functions in the orchestration requirement ('tools like Airflow or AWS Step Functions'); both are named as acceptable options for the same gate.
IBM DataStage and Informatica appear in the Preferred section under ETL Migration experience, not in the required block.
Great Expectations and dbt testing suites are listed together as examples of data quality frameworks under Preferred qualifications.
No compensation range or employment type (full-time vs. contract) is stated in the posting.
Fannie Mae / Freddie Mac / GSE industry experience is described as 'highly valued' and listed under Preferred — not a hard gate.
Read the full posting
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