Senior Data Engineer at Weight Watchers
$155,000–$175,000
Jul 29, 2026
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Jul 29, 2026
What this job asks for AI summary
A Senior Data Engineer role at a global digital health company, responsible for designing and scaling ELT pipelines, maintaining Snowflake-based data infrastructure, and building analytics-layer tooling including Looker views and agentic AI capabilities. The role involves data modeling, production pipeline ownership, and technical leadership across cross-functional teams in a hybrid work environment.
Senior level · 5+ years · Bachelor's required · Full-time
Pay in the description: $155,000–$175,000
“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). 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 Jul 29, 2026. It is a model, not a headcount.
Why we read it this way (7)
The role is genuinely ambiguous between data/pipeline architecture (15-1243) and general software engineering (15-1252); the emphasis on ELT pipeline design, data modeling, Snowflake optimization, and warehouse architecture tips it toward 15-1243, but the strong Python software engineering and CI/CD requirements make 15-1252 a credible runner-up.
No specific work location is stated beyond a hybrid policy; the posting references state-specific legal notices for Maryland, Massachusetts, and Rhode Island but does not name a primary office city. CBSA and state fields are left blank accordingly.
GitHub Actions and Argo CD are listed together as examples of CI/CD frameworks in the requirements section; they are treated as interchangeable alternatives for the CI/CD requirement rather than separate hard gates.
Prefect and Airflow are listed as interchangeable examples for workflow orchestration in the requirements section.
Datadog appears both in the requirements section (as a hard gate for observability) and in the responsibilities section (as an example monitoring tool alongside Monte Carlo). Monte Carlo appears only in the responsibilities narrative and is listed as preferred.
Snowflake Cortex/MCP is explicitly called out as 'a plus' in the posting and is marked preferred accordingly.
The degree requirement states 'BS/MS in Computer Science, Information Systems, or a related technical field' with no equivalent-experience escape clause; minimum degree is set to Bachelor's.
Read the full posting
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