Atlanta, GA

Salary
$70,000–$85,000from the description
Posted
Aug 12, 2026
Location
Atlanta, GA
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

A data engineering role centered on building and maintaining ETL pipelines and data ingestion workflows using SSIS, Talend, and SQL for a client in a regulated industry. The position covers the full data lifecycle — ingestion, transformation, migration, and governance — with stakeholder collaboration to onboard new customer datasets and enforce data quality standards. Cloud and orchestration exposure (AWS, Airflow, Python) is a plus but not required.

Mid level · 3+ years · Full-time

Must have (3)
SQLSSISTalend
Nice to have (3)
AWS, Azure or GCPApache AirflowPython

“or” means any one of them counts — you don't need all of them.

Posted 2 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

What won't set you apart
SQL90%

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 15, 2026. It is a model, not a headcount.

Why we read it this way (4)

The 3–5 year experience range is stated as a requirement; the overall years minimum is set to 3 (the lower bound).

The role title is 'Data Analytics Developer' but the day-to-day work is squarely ETL/pipeline engineering (SSIS, Talend, data migration), making 15-1243 (Database Architects) the best fit; 15-1242 (Database Administrators) is noted as a runner-up given the operational pipeline maintenance component.

AWS, Apache Airflow, and Python appear explicitly under 'Desired Skills & Experience' and are also flagged as 'a plus' in the Tech Breakdown section, so all three are marked preferred.

Data governance and healthcare/regulated-industry experience are listed under Desired Skills but name no specific technology, so they are omitted per the concrete-tool rule.

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