Senior Staff Engineer - Senior Data Engineer at Nagarro
Grand-Prairie, TX
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Jul 28, 2026
Grand-Prairie, TX
Jul 29, 2026
What this job asks for AI summary
A Senior Data Engineer role at a digital product engineering firm, based onsite in Grand Prairie, TX (4 days/week). The position centers on building scalable cloud data pipelines for manufacturing and IoT data, bridging OT/IT systems, and working with lakehouse/medallion architectures. Candidates with a manufacturing background (MES, SCADA, ERP, industrial protocols) are preferred alongside strong data engineering fundamentals.
Senior level · 8+ years · Dallas-Fort Worth-Arlington, TX · Full-time
“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 Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (database architects). range 30–75
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 $158,173 (middle half $132,644–$169,109).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (4)
The Qualifications/Must-have section explicitly gates on SQL, Python, and lakehouse/medallion architecture experience on Databricks, Snowflake, AWS, or Azure. Databricks and AWS are listed as the primary named tools; Snowflake and Azure appear as named alternatives in the same requirement.
Spark, Kafka, Airflow, Delta Lake, MES, SCADA, ERP, and industrial protocols (OPC-UA, MQTT, Modbus) appear only in the Job Overview narrative sections — not in the formal Qualifications/Must-have block — so they are treated as preferred rather than hard gates.
Manufacturing experience (8–10 years) is described as 'optional' in the Job Overview, so it is not treated as a hard requirement.
The role is classified as a Data/Database Architect (pipeline and lakehouse architecture focus) rather than a Software Developer, though the boundary is close given the Spark/Kafka pipeline engineering work described; alt SOC 15-1252 is noted.
Read the full posting
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