Rogo
Data Engineer: Analytics
$150K–$230K
New York City · On-site · Full-time · Posted Jun 25, 2026
- Experience
- 5+ years in data engineering, analytics engineering, or a closely related role.
About the job
Own and scale Rogo’s analytics infrastructure, data pipelines, KPI definitions, and evaluation systems, while partnering with product and engineering to turn analytics work into customer-facing features.
What you'll do
- Own ETL pipelines, Snowflake, dbt models, orchestration, and reliability.
- Design and run evaluations and tests for internal and customer-facing agentic analytics.
- Define and document core KPIs, investigate changes, and partner to productize analytics infrastructure.
What they ask for
- 5+ years of professional experience in data engineering, analytics engineering, or a closely related role, with ownership of production data systems.
- Deep SQL proficiency and fluency with a modern cloud data warehouse.
- Hands-on dbt experience and strong Python for pipeline and transformation work.
- Comfort with orchestration and modern ETL tooling.
Nice to have
- Experience building evals or test harnesses for LLM-powered systems.
- Growth-stage experience; single- and multi-tenant architectures; relevant financial/B2B data or financial services, enterprise SaaS, or vertical AI experience.
Pay
$150K – $230K USD base salary
Tools
SQL, Snowflake, dbt, Python, Salesforce, Intercom, Metronome, LSEG
AI focus
Build evaluation and testing systems for agentic analytics, including internal agents and customer-facing analytics; requires familiarity with AI products and how retrieval, tool calls, model turns, and costs shape responses.
Model-written summary · the original posting is authoritative