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Engineering Manager - Data Engineering & Insights

Job in Seattle, King County, Washington, 98101, USA
Listing for: Otter
Full Time position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    Data Engineering, Information Security & Data Protection, Data Science Manager, Data Analyst
Job Description & How to Apply Below

Engineering Manager - Data Engineering & Insights

Seattle, WA

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery.

Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.

Role

We are looking for a hands-on Engineering Manager to spearhead our evolution from traditional analytics to a next-generation intelligence platform. This is a great opportunity to lead a team managing the data behind roughly 80% of all online food orders in the US, and modernize our ecosystem by building an impeccable data foundation that moves beyond static charts into live, conversational insights.

The Impact:
Empower merchants with fast, trustworthy, and actionable metrics that change how they run their businesses every single day.

What You'll Do
  • Own Otter Insights End-to-End:
    Lead the strategy for everything inside Business Manager (pipelines and datasets to the semantic modeling layer and customer-facing embedded analytics).
  • Manage Ingestion to Serving:
    Drive both real-time and batch pipelines, ensuring canonical datasets and robust APIs are built to empower other internal teams.
  • Scale the Semantic Layer:
    Oversee frameworks (like Cube/SQLMesh) to ensure metrics and dimensions remain consistent across batch and real-time processing.
  • Drive Data Governance:
    Establish analytics engineering standards and ensure adoption across broader product teams to maintain high data quality.
  • Ship High-Performance Products:
    Deliver data-intensive, customer-facing applications including the Analytics App, Analytics Studio, automated reports, and data-sharing APIs.
  • Deploy Safe AI Insights:
    Build automated AI insights on top of governed metrics, implementing strict guardrails, observability, and customer-impact triage.
  • Build and Coach the Team:
    Hire, mentor, and retain a cross-functional team of analytics engineers and full-stack/frontend engineers while setting technical direction across the stack.
What We're Looking For
  • Blended Team Leadership: 4+ years of experience leading engineering teams across both data/platform and product domains
  • Cross-Functional Team Building:
    Proven track record building and scaling diverse teams (backend, analytics engineering, and full-stack/frontend)
  • Modern Data Modeling: A strong background in data modeling and semantic layers, alongside a history of delivering B2B or customer-facing analytics products
  • Pragmatic Data Governance:
    Experience implementing data lineage, catalogs, compliance, and quality frameworks
  • Product & Executive Partnership:
    Ability to collaborate closely with PMs, designers, and executive stakeholders w
  • Full-Stack Accountability:
    Comfort owning end-to-end operational health, monitoring incidents, and managing on-call rotations from the data pipeline down to the user interface.
  • Forward-Looking Mindset: A genuine interest in establishing AI-ready data foundations and building AI-enabled insights on top of certified metrics and metadata.
Desirable Technical Skills

Data Platform & Analytics Engineering

  • Hands-on experience with SQLMesh, dbt, and Cube.
  • Pipeline CI/CD, data observability, and orchestration (Flink / or similar batch tools)
  • Click House, Pinot, or Trino
  • Data access controls, platform hardening, and permissioned sharing

Applications & Insights (Full-Stack)

  • Engineering experience across React, Type Script, and Java (or Kotlin/Scala)
  • Building dashboards, custom charts, automated report scheduling, and data exports
  • Designing and implementing secure, permissioned data-sharing APIs
Preferred Domain Experience (A Plus, Not Required)
  • Restaurant, marketplace, or delivery analytics.
  • Familiarity with Otter Business Manager is a plus.
Why Join Us
  • Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X…
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