Temporal Technologies
Senior Analytics Engineer
$138K–$220K
United States (Remote) · Remote · Senior · Full-time · Posted Oct 9, 2026
About the job
Builds governed, reusable analytical data products and semantic models so employees and analytical agents can answer business questions reliably across Temporal.
What you'll do
- Create and maintain canonical entities, shared dimensions, data marts, metrics, and Omni semantic-layer Topics.
- Set modeling, documentation, quality, governance, and change-management standards; build automated data checks.
- Partner with business, Data Platform and Trust, and Data Science and Applied AI on reliable, accessible analytics products.
What they ask for
- Advanced SQL experience; working proficiency in Python.
- Experience with data transformation frameworks such as DBT or SQLMesh.
- Data mart design experience using dimensional or entity-centric modeling; experience implementing a semantic layer or governed metrics.
- Advanced knowledge of grain, keys, history, lineage, contracts, and quality controls; experience with Git, code review, automated tests, CI/CD, and production ownership.
Nice to have
- Experience with S3, Athena, Iceberg, Hive, or another open lakehouse architecture; Omni Analytics, Looker, or a comparable semantic layer.
- Experience with orchestration systems, usage-based B2B SaaS, cloud infrastructure, developer tools, consumption-based revenue, governed contribution programs, or analytics-agent metadata and semantic products.
Pay
$137.6K – $220K (base salary)
Tools
SQL, Python, DBT, SQLMesh, S3, Athena, Iceberg, Hive
AI focus
Partner with Data Science and Applied AI on feature tables, prediction outputs, model consumption, and monitoring; make data products usable by analytical agents.
Model-written summary · the original posting is authoritative