Python/Apache Spark + Airflow Engineer - 6376092 at Accenture
Charlotte, NC
$44–$54/hrfrom the description
Jul 29, 2026
Charlotte, NC
Sep 24, 2026
What this job asks for AI summary
A contract-based application support and troubleshooting role embedded at a client site (60% onsite, 3 days/week), focused on diagnosing and resolving complex issues across critical business systems built on Python and big-data technologies. The position involves acting as a subject-matter expert, guiding team members, engaging stakeholders, and driving root-cause analysis and long-term fixes. Banking-domain experience is a plus.
Senior level · 5+ years · Contract
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
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). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 1, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role is an Accenture Flex (fixed-duration contract) engagement, not a permanent hire.
The posting lists multiple US locations (California, Colorado, Illinois, Massachusetts, New York/New Jersey, Washington, etc.) with the same $44–$54/hr range — no single metro is specified, so CBSA is left blank.
Minimum degree is an Associate's; a Bachelor's is listed as preferred. Because the hard gate is an Associate's (not a Bachelor's), the degree requirement is set to None per schema rules (no Bachelor's hard gate).
SOC classification is genuinely ambiguous: the stack (Python, Spark, Airflow) points toward data pipeline/engineering work (15-1243 Database Architects / data engineers), but the framing around diagnosing and resolving issues in business systems also fits a Software Developer support role (15-1252). 15-1243 is chosen as primary given the Spark + Airflow combination, which is characteristic of data pipeline engineering.
Banking experience is listed under Preferred Qualifications and is not a named technology, so it is not emitted as a skill.
Posting is for a contract engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.