Google Senior Data Engineer at Accenture
Albany, NY
$80,400–$266,300from the description
Aug 12, 2026
Albany, NY
Sep 24, 2026
What this job asks for AI summary
A hands-on GCP Senior Data Engineer role at Accenture focused on building and delivering data modernization, analytics, and AI solutions for enterprise clients. Day-to-day work spans designing and implementing data pipelines and ETL/ELT processes on Google Cloud, supporting ML and generative AI development with Vertex AI and Gemini models, and collaborating directly with clients to translate requirements into technical implementations.
Senior level · 5+ years · Unspecified (multi-state) · Full-time
Posted 8 times — it's one opening, so apply once.
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 5 people in NY plausibly meet what this posting asks for (database architects). range 3–7
Applicant volume Light — Few people clear these requirements, so an application that does clear them gets looked at. Worth applying to even if you miss a nice-to-have.
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). 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 13, 2026. It is a model, not a headcount.
Why we read it this way (9)
The role is genuinely ambiguous between data/pipeline engineering (15-1243) and general software development (15-1252); the primary framing is data pipeline and ETL delivery on GCP, which tips toward 15-1243, but the ML/GenAI development scope is substantial.
GCP is listed as a hard requirement (4+ years) in the minimum qualifications section. Specific GCP services — BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Storage, and Looker — are explicitly called out under 'Bonus points' (preferred), even though they are also mentioned in the responsibilities narrative.
Python is listed in the minimum qualifications with a 3-year floor alongside 'AI or GenAI tools (Vertex AI preferred)'; Vertex AI is named as the preferred tool within that same requirement, so it is captured as a required skill.
Gemini Foundation Models and Gemini Enterprise appear in the responsibilities narrative and the bonus section; they are marked preferred accordingly.
Dataplex and IAM appear in the responsibilities narrative under data governance; they are marked preferred as they do not appear in the hard requirements section. IAM is a broad platform capability rather than a discrete named tool and is omitted as a standalone skill.
The compensation range spans multiple states with widely varying bands ($80,400–$266,300); the figures shown represent the absolute floor and ceiling across all listed geographies.
Travel up to 100% is explicitly noted as a possibility depending on client needs.
A Bachelor's degree or equivalent work experience is accepted, so the degree requirement is set to None.
Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer) are listed under bonus points and are not a hard gate.
Read the full posting
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