Houston, TX

Salary
$130,000–$145,000
Posted
Jul 7, 2026
Location
Houston, TX
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

A mid-level data engineering role focused on designing and maintaining enterprise ETL/ELT pipelines, cloud-native data models, and analytics infrastructure on Azure — primarily using Databricks, Data Factory, Synapse Analytics, and Power BI. The position also involves building pipelines to support AI and machine learning workloads, improving data governance, and providing technical guidance to junior engineers. Suited to someone with 4–6 years of hands-on production data engineering experience.

Mid level · 4+ years · Houston-The Woodlands-Sugar Land, TX · Bachelor's required · Full-time

Pay in the description: $130,000–$145,000

Must have (9)
Azure DatabricksSQL ServerT-SQLPythonAzure Data FactoryAzure SQL DatabaseAzure Synapse AnalyticsPower BIdimensional modeling
Nice to have (13)
Microsoft FabricDelta LakePySparkAzure Data Lake StorageAzure AI ServicesAzure Machine LearningMLflowUnity CatalogDatabricks WorkflowsAzure DevOpsCI/CDGitREST APIs

Posted 2 times — it's one opening, so apply once.

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 2 people in the Houston-The Woodlands-Sugar Land, TX area plausibly meet what this posting asks for (database administrators). range 1–3

Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.

What gives you an edge
Azure Synapse Analytics4%Azure Data Factory5%Power BI10%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
SQL Server55%dimensional modeling55%Python51%T-SQL40%

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

What the occupation pays Median $118,582 (middle half $86,910–$144,182). This posting is about at that midpoint.

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)

The role title explicitly states 'Data Engineer II (Mid-Level)', making the advertised level unambiguous. The 4–6 years of experience requirement and scope (mentoring juniors, contributing to architecture discussions but not owning them) are consistent with a Mid-level band.

SOC classification is a genuine judgment call: the role centers on building ETL/ELT pipelines, data models, and cloud data platform architecture (pointing to 15-1243 Database Architects), but also involves substantial Python/PySpark framework development and pipeline coding that could support 15-1252 Software Developers. 15-1243 was chosen as primary because data modeling, warehouse design, and pipeline architecture are the dominant day-to-day outputs.

The bachelor's degree requirement is a hard gate — the JD lists it under Required Qualifications with no 'or equivalent experience' escape clause.

Delta Lake and PySpark appear only under Preferred Qualifications despite being mentioned in the responsibilities narrative; they are treated as preferred per the section heading.

Healthcare industry experience is listed under Preferred Qualifications and is therefore not a hard gate.

The posting explicitly states no remote, hybrid, or relocation assistance — fully onsite in Houston is a firm requirement.

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