Data Engineer at Robert Half
Memphis, TN
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Jul 2, 2026
Memphis, TN
Jul 21, 2026
What this job asks for AI summary
A data engineering role centred on building and maintaining scalable pipelines that ingest, process, and transform large datasets from varied sources. Day-to-day work spans ETL/ELT development, data warehouse optimisation, data quality and governance, and cloud infrastructure support. The position suits someone with solid SQL and Python (or similar language) experience and hands-on familiarity with modern orchestration tools and cloud data warehouses.
Mid level · 3+ years · National · Bachelor's required · Contract
“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
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 (6)
This is a Robert Half staffing placement; the posting explicitly mentions contract, temporary, and permanent placement solutions, and references contract/temporary benefits — employment type is treated as Contract.
The role is classified as 15-1243 (Database Architects) given its primary focus on building data pipelines, ETL/ELT workflows, data warehousing, and data architecture. 15-1252 (Software Developers) is a plausible alternative given the breadth of programming and engineering work described.
The requirements section lists orchestration/pipeline tools as 'Apache Airflow, dbt, or Apache Spark' — these are framed as interchangeable options for a single requirement; dbt also appears separately under Preferred Qualifications, so it is additionally captured as a preferred skill.
Machine learning data pipeline support and data governance/compliance experience appear only under Preferred Qualifications and are omitted as named tools; no specific ML framework or governance platform is named.
No compensation figures are provided in the posting.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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