Data & ML Engineer at Fiserv
Alpharetta, GA
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Jul 22, 2026
Alpharetta, GA
Jul 23, 2026
What this job asks for AI summary
This role sits within a Digital Onboarding team and centers on building and maintaining data pipelines, ETL workflows, and MLOps infrastructure that feed a merchant analytics and offer recommendation capability. Day-to-day work spans ingestion, transformation, and validation of data using tools such as Python, SQL, AWS Glue, Snowflake, and Qlik, as well as supporting feature preparation, batch scoring, and model output integration. It suits engineers with at least four years of data or ML engineering experience who are comfortable bridging data science and backend engineering teams.
Mid level · 4+ years · Full-time
“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 $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)
The role blends data/ETL engineering (pipelines, Snowflake, AWS Glue, Qlik) with MLOps support (feature prep, batch scoring, model output processing). It is primarily a data pipeline/architecture role, making 15-1243 the best fit, but 15-2051 (Data Scientists) is a plausible runner-up given the ML engineering emphasis.
No work location city or state is specified in the posting; a long list of states where the role is NOT eligible is given (CO, CA, DC, HI, IL, MA, MD, MN, NJ, NY, NV, RI, VT, VA, ME, WA), but the actual work location is not named. CBSA and state fields are left blank.
The degree requirement is a Bachelor's in CS/IT/IS 'or equivalent industry experience,' so it is treated as not a hard gate.
AWS services (S3, Glue, Lambda, SageMaker, CloudWatch) are listed under the required 'Familiarity with AWS services' bullet and are marked as required. Qlik Data Integration is listed as an alternative to AWS Glue in the ETL tools requirement.
CDC, MLOps, and feature stores appear only under the 'Experience that would be great to have' (preferred) section.
Read the full posting
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