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Data Engineer: Analytics

Rogo· Engineering
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New York City$150k - $230kFull-timePosted 3mo ago

About the role

Analytics at Rogo defines the metrics, runs the pipelines behind them, and turns both into decisions and a better product. The role owns the Analytics infrastructure end-to-end, including ETL, data models, orchestration, and KPI definitions, with a strong product mindset and cross-functional collaboration.

Responsibilities

  • Own analytics infrastructure: the ETL pipelines, Snowflake, dbt models, orchestration, and the reliability of all of it.
  • Analytics evals: design and run the evaluation and testing layer for internal agentic analytics surfaces and customer-facing analytics for enterprise admins.
  • Own core KPIs: definitions, pipelines, and documentation; diagnose when numbers move and identify root causes.
  • Know the product inside and out: develop deep product understanding like other engineers or salespeople at Rogo.
  • Turn internal work into product: partner with engineering and product to make analytics infrastructure a customer-facing feature.
  • Pick up a lane of analytics work: laterally own a domain and deepen expertise as the foundation solidifies.

Qualifications

  • 5+ years of professional experience in data engineering, analytics engineering, or a closely related role, with a track record of owning production data systems.
  • Deep SQL proficiency and fluency in a modern cloud data warehouse (Snowflake preferred).
  • Hands-on dbt experience: models, tests, macros, incremental strategies, and well-structured transformation layer perspective.
  • Strong Python for pipeline and transformation work, and comfort with orchestration and modern ETL tooling.
  • Experience with fast refresh cadence as event volume grows: partitioning strategies, incremental model design, storage tiering.
  • Genuine fluency with AI products: understanding of retrieval, tool calls, model turns, and cost considerations in agentic workflows.
  • Curiosity about the business and ownership mindset: understanding what numbers mean beyond successful runs.
  • Comfort operating autonomously across multiple stakeholders and domains.

Skills

Required:SQLSnowflakedbtPythonOrchestrationAI product fluency

Benefits

  • Equity eligibility
  • Comprehensive medical, dental, and vision coverage
  • Paid time off
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Rogo

Secure AI for Finance Professionals

Rogo is the secure generative AI platform built for elite financial institutions. Save time, unlock insights and automate workflows in days.

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