Senior Analytics Engineer

D8 LooP; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Temporal is seeking a Senior Analytics Engineer to build reusable analytical models, tools, and systems that empower decision making across the company. You will report to the Director of Data Engineering and Analytics and collaborate with Data Science on feature tables and model outputs.

Ideal candidates possess strong SQL skills, Python proficiency for data-lake jobs, and experience with DBT or similar frameworks for reliable, scalable data pipelines.

Qualifications

• Data mart design experience using dimensional and entity centric modeling.
• Advanced knowledge of grain, keys, history, lineage, contracts, and quality controls.
• Proficiency in Python to build and maintain data-lake jobs.
• Strong SQL skills and ability to build semantic products.
• Experience with orchestration tools like Airflow and data transformation frameworks such as dbt.
• Collaborate with Data Science on feature tables and model outputs.

Responsibilities

• Build reusable analytical models, tools, and systems to power decisions across Temporal.
• Partner with Data Platform and Trust on deployment, orchestration, observability, access controls, performance, cost, and production reliability.
• Align business logic across marts and dashboards with clear governance and controls.

Skills

Data mart design

Grain/keys/history

Python

SQL

Airflow

Data Science collaboration

dbt

Tools

Airflow

dbt

SQLMesh

Job description

Temporal · jobs.ashbyhq.com · checked today

The Senior Analytics Engineer will help build the reusable analytical models, tools, and systems to power decisions across Temporal. This role reports to the Director of Data Engineering and Analytics. Ultimately, your goal is to make it possible for every Temporal employee to produce first-class analyses.

Skills, with evidence

Data mart design experience using modeling techniques such as dimensional and entity centric modeling. must have

Advanced knowledge of grain, keys, history, lineage, contracts, and quality controls. must have

• Python Working proficiency in Python to build and maintain jobs that create and alter tables in the data lake. must have
• SQL The ideal candidate possesses strong SQL skills, sound business acumen, and deep expertise in building semantic products gained through years of experience across different tools, modeling frameworks, and subject areas. must have
• Airflow / orchestration Partner with Data Platform and Trust on deployment, orchestration, observability, access controls, performance, cost, and production reliability.
• Along with helping to align our business logic across marts and dashboards, you will create clear technical governance and controls as you work to empower stakeholders across the business. not practised here
• Governance & security Along with helping to align our business logic across marts and dashboards, you will create clear technical governance and controls as you work to empower stakeholders across the business. not practised here
• You will partner with Data Science and Applied AI on feature tables, model outputs, model consumption, and monitoring.
• Cost & performance You will work closely with Data Platform and Trust on orchestration, deployment, observability, access controls, performance, reliability, and cost.
• Warehousing - Working proficiency in Python to build and maintain jobs that create and alter tables in the data lake.
• dbt - Experience with data transformation frameworks such as DBT, SQLMesh, etc
• AWS - S3, Athena, Iceberg, Hive, or another open lakehouse architecture. not practised here