Senior Data Engineer (Databricks)
Sparq Holdings, Inc.
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Jul 22, 2026
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Jul 23, 2026
What this job asks for AI summary
A senior data engineering role focused on migrating large-scale batch data pipelines from legacy platforms (such as Teradata) into Databricks, while supporting parallel legacy and cloud environments during the transition. The work involves hands-on development in Python, Spark, and SQL alongside technical design leadership and stakeholder collaboration. Suits an experienced data engineer comfortable operating in both a coding and advisory capacity, with an appetite for integrating AI tools into daily workflows.
Senior level · Remote · Full-time
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 2,250 people nationally plausibly meet what this posting asks for (database architects). range 1,350–3,400
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 $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 (8)
The role is primarily focused on building and migrating large-scale batch data pipelines into Databricks, with strong data engineering (ETL/pipeline) responsibilities — placing it between 15-1243 (Database Architects, for pipeline/warehouse building) and 15-1252 (Software Developers). The design-leadership and SME framing tipped the classification toward 15-1243, but 15-1252 is a close runner-up given the heavy hands-on coding emphasis.
No explicit total years of experience are stated; seniority is assessed as Senior based on the SME/lead-design expectations, production-grade delivery requirements, and consultancy context.
Teradata is listed in the requirements section but qualified as 'preferably involving Teradata or a comparable platform,' meaning the migration experience itself is required but Teradata specifically is preferred — marked accordingly.
Azure data services (Data Factory, Synapse, Event Hubs, Delta Lake, Cosmos DB, Azure DevOps) are explicitly called out as 'preferred' in the posting.
Big Data technologies, NoSQL, Git, Jenkins, CI/CD, and Agile are listed under a 'plus' qualifier and are marked as preferred.
GitHub Copilot and Claude (via Anthropic partnership) are mentioned in the day-to-day narrative and 'nice to have' framing around AI tools — marked as preferred.
The role is fully remote (#LI-REMOTE) with no specific geographic location stated; no CBSA is assigned.
C2C is explicitly not available; candidates must be US work-authorized without sponsorship.
Read the full posting
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