Analytics Engineer: AI-Powered Data Platform

Lever, Inc.

Orem (UT)

On-site

USD 100,000 - 140,000

Full time

6 days ago

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Job summary

Lever, Inc. is seeking an Analytics Engineer to own the transformation layer, turning messy source data into canonical facts and dimensions in a Snowflake-based platform. You will migrate legacy reports and ensure reliable, auditable results that stakeholders can trust.

You will leverage AI tooling within a robust dbt/GitHub workflow, owning correctness, performance, and style across the end-to-end data pipeline.

Qualifications

Strong SQL: read, write, and judge SQL; window functions, deduplication, grain.
Ability to work with AI tooling, fix generated SQL, own outcomes.
Hands-on dbt experience (Core or Cloud): models, tests, macros, refs/sources.
Experience with a cloud data warehouse, ideally Snowflake.
Comfortable with Git/GitHub and PR-driven workflow.
Dimensional modeling fundamentals and avoiding over-engineering.
Documentation and testing habit to keep work verifiable.

Responsibilities

Build the Core data model with facts and dimensions in dbt across staging to core to mart.
Migrate legacy reports onto Core, reconciling outputs line-for-line.
Work with AI in the loop to accelerate model development and testing while owning accuracy.
Own data quality with dbt tests and data contracts; treat CI failure as blocker.
Integrate diverse data sources and document quirks, grains, and gaps.
Build semantic/AI-ready layer with governed metrics and metadata.
Raise the bar on engineering practice with small, reviewable PRs and CI.