Senior Data Engineer (ETL / Python Developer) at CSpring
Indianapolis, IN
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Aug 11, 2026
Indianapolis, IN
Sep 24, 2026
What this job asks for AI summary
A data engineering role at a consulting firm focused on building and maintaining enterprise ETL pipelines, scalable data processing solutions, and cloud-based data warehouse architectures. The work spans Medicaid analytics, federal reporting, and cloud migration initiatives, making it well-suited to engineers with deep experience in Informatica, Azure, Snowflake, and Spark who are comfortable operating in public-sector or healthcare data environments.
Senior level · 5+ years
Long application — this platform typically asks you to create an account and re-enter your work history.
“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 $106,921 (middle half $81,361–$138,439).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 12, 2026. It is a model, not a headcount.
Why we read it this way (4)
The ETL tool requirement lists 'Informatica PowerCenter, Teradata, Azure Data Factory, or similar tools' — these are presented as interchangeable options for the 5-year ETL gate. Azure Data Factory is emitted as the primary skill with the others as alternatives, but all three are individually required skills in their own right elsewhere in the posting (Teradata has its own 5-year gate; Informatica and ADF appear in the responsibilities).
The degree (Bachelor's or higher) appears only under Preferred Qualifications and is therefore not a hard requirement.
Azure certifications, Medicaid/MMIS environment experience, healthcare/public sector analytics, data modeling, scripting (PowerShell/Bash), REST API experience, and data quality frameworks are all listed under Preferred Qualifications.
SOC classification is Medium confidence: the role is primarily pipeline/warehouse building (ETL, Spark, Snowflake, data modeling) pointing to 15-1243, but the volume of Python/Spark development could also support 15-1252 Software Developers.
Read the full posting
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