Senior Data Engineer, Hockey Operations at The Florida Panthers
Fort Lauderdale, FL
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Jul 13, 2026
Fort Lauderdale, FL
Jul 21, 2026
What this job asks for AI summary
A senior engineering role embedded within an NHL team's Research & Development department, focused on building and maintaining the data infrastructure behind the organization's hockey analytics platform. Day-to-day work spans designing ETL pipelines, optimizing cloud-based data warehouse architecture on GCP, integrating diverse data sources, and automating workflows. The role suits an experienced data engineer comfortable collaborating with both technical teammates and non-technical hockey operations staff.
Mid level · 4+ years · Miami-Fort Lauderdale-Pompano Beach, FL · Bachelor's required · Full-time
Advertised as Senior, but the requirements read as Mid.
“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
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $144,274 (middle half $121,300–$167,841).
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 (7)
The 4–6 year experience range maps to a Mid-level engineer on a standard career ladder; the 'Senior' title is advertised but the requirements do not clearly support a Staff-level scope.
GCP is the team's stated platform and is strongly implied as the primary cloud environment; AWS and Azure are listed as acceptable alternatives in the qualifications ('GCP, AWS, or Azure'), so all three are captured under one skill with alternatives.
PostgreSQL is called out with 'strongly preferred' language within the required qualifications block, so it is treated as a hard gate alongside the broader SQL requirement.
Sports analytics / hockey analytics experience is described as 'a significant asset' and 'strongly preferred' — not a hard gate — so it is marked preferred.
The role sits at the boundary between 15-1243 (Database Architects — data warehouse design, modeling, pipeline architecture) and 15-1252 (Software Developers — building production ETL pipelines in Python). 15-1243 was chosen because the primary emphasis is on data infrastructure architecture and warehouse design rather than general application development.
No compensation figures are provided in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): data warehouse design.
Read the full posting
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