Salary
Posted
Jul 1, 2026
Location
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

A data engineering role centered on building and maintaining ETL pipelines, SQL Server database solutions, and Power BI reporting within a Microsoft BI stack. Day-to-day work involves query optimization, performance tuning, and writing Python and SQL code to support data processing and analytics workflows. Suited to an experienced individual contributor with 6+ years in the Microsoft BI and data engineering space.

Senior level · 6+ years · National · Full-time

Must have (5)
ETL pipelinesPower BISQL ServerPythonSQL

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

What won't set you apart
SQL90%Python55%SQL Server50%

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)

This role is located in Pune, Maharashtra, India (IN-MH-Pune) — the US-based flag is set to false; US compensation benchmarks do not apply.

The title 'MSBI Developer' carries no explicit seniority level, so advertised seniority is Unspecified; the 6+ years requirement supports a Senior classification.

The role sits at the boundary between data/pipeline engineering (15-1243) and BI/reporting analysis (15-2031); the emphasis on ETL pipeline design and SQL Server architecture tips it toward 15-1243, with 15-2031 as a close runner-up given the Power BI and analytics focus.

No compensation figures were provided in the posting.

This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.

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