Lilt
Data Engineering Manager
$147K–$190K
Indianapolis, IN +2 · Remote · Manager · Full-time · Posted Oct 7, 2026
- Location
- Indianapolis, IN
Boston, MA
Washington D.C. - Experience
- 7+ years in data/analytics engineering, including 2+ years managing a small team (2-5).
About the job
Leads LILT’s data transformation layer and warehouse, ensuring consistent metrics, reliable and cost-effective pipelines, and a new data team.
What you'll do
- Own metric implementation in dbt and run the transformation layer and warehouse, including pipeline reliability, testing, and cost management.
- Set warehouse and analytics-serving strategy, including API and MCP exposure, and build and lead the Data team.
- Stay hands-on with SQL, dbt, and Python; establish how the team uses AI agents to build, test, and review data pipelines and models.
What they ask for
- 7+ years in data or analytics engineering, including 2+ years managing a small team of 2–5, with a track record of hiring and developing individual contributors.
- Fluent in SQL and Python; experience building and running production pipelines and a dbt or equivalent transformation layer; comfortable with a modern data warehouse.
- Owned a warehouse or pipeline budget and reduced costs with measurable results; able to translate business needs into a technical plan and prioritize a backlog.
- Owned data accountability for finance, operations, and go-to-market stakeholders; understands B2B SaaS metrics and uses AI tools daily with appropriate verification.
Nice to have
- Built a data function from zero or revived an abandoned one; run dbt at scale on BigQuery or operated ClickHouse.
- Shipped analytics in both cloud and self-hosted environments.
Pay
$147K – $190K (base salary)
Tools
dbt, BigQuery, ClickHouse, MySQL, Python 3, Argo Workflows, Kubernetes, Datadog
AI focus
Defines how the Data team uses AI agents to build, test, and review pipelines and models, including where human review is required.
Model-written summary · the original posting is authoritative