Databricks Engineer at Novalink Solutions LLC
Austin, TX
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Jul 26, 2026
Austin, TX
Jul 29, 2026
What this job asks for AI summary
A senior data engineering role centered on building and maintaining large-scale data solutions within Databricks. Day-to-day work involves designing ETL/ELT pipelines, implementing Medallion Architecture (Bronze/Silver/Gold), developing data models, and creating dashboards and analytics applications natively in Databricks. The role suits an experienced engineer with deep expertise in Databricks, Apache Spark, Delta Lake, SQL, and Python or Scala, along with a strong grasp of data governance and quality practices.
Senior level · 8+ years
“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
Rare in this occupation — lead with these, and say what you built with them.
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 (5)
No work location is specified in the posting; CBSA and state fields are left blank. The mention of 'public sector or state government environments' as a preferred qualifier suggests a US-based government or government-contractor engagement, but no specific geography is confirmed.
The role is classified as Database Architects (15-1243) because its primary focus is designing and building data lakehouse architecture, medallion pipelines, data models, and governance frameworks on Databricks/Delta Lake — pipeline and warehouse architecture work. Software Developers (15-1252) is a credible runner-up given the emphasis on writing PySpark/Scala code and building applications.
The posting lists '8 Required' years against every single required skill, which appears to be a template artifact (the same 8-year figure applied uniformly). The role-level requirement of 8+ years in IT is treated as the total experience gate; per-skill years demanded are set accordingly but should be interpreted with that caveat in mind.
'Data warehousing and dimensional data modeling (star/snowflake schemas)' is listed as a required skill; 'data warehousing' is captured as the canonical skill name since dimensional modeling is a methodology rather than a named tool.
Databricks certification and public-sector experience appear under the Preferred section (1 year preferred) and are marked accordingly. CI/CD and Git-based workflows also appear only under Preferred.
Read the full posting
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