Engineering Manager - Data Engineering & Insights
- Pay
- $224,000 – $283,000 per year
- Location
- Seattle, WA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 4+ years
- Listed
- 30 days ago
Skills & highlights for this role
- data modeling
- semantic layers
- data governance and lineage
Also useful
- dbt
- ClickHouse
- React
Stated benefits & perks
- Medical
- Dental
- Vision
- 401k
- Pto
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)
- ClickHouse, Pinot, or Trino
- Data access controls, platform hardening, and permissioned sharing
Applications & Insights (Full-Stack)
- Engineering experience across React, TypeScript, 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.
What else you need to know
This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week.
The base salary range for this role is $224,000 - $283,000 per year.
Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.
Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.
Benefits Summary (USA Full-Time Exempt Employees)
- Medical, dental, and vision insurance (multiple plans, incl. HSA options).
- Company-paid life and disability insurance (short- and long-term).
- Voluntary insurance: accident, critical illness, hospital indemnity.
- Optional supplemental life insurance for self, spouse, and children.
- Pet insurance discount.
- 401(k).
- Health Savings Account (HSA)
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Time Off policies:
- Discretionary vacation days
- 8 paid holidays per year
- Paid sick time
- Paid Bereavement leave
- Paid Parental Leave
- Benefits are subject to change at the company's discretion.
- Atoms accepts applications on an ongoing basis.
Ready to join us as we serve those who serve others?
#LI-Onsite
Who we are
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.
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 from $10B to $100B, and could expand to $500bn- $1T by 2030.
- Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery.
- Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success.
From Otter's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Engineering Manager - Data Engineering & Insights role at Otter?
The Engineering Manager - Data Engineering & Insights posting at Otter states compensation of $224,000 – $283,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Otter's official career site.
Where is the Engineering Manager - Data Engineering & Insights job at Otter located?
This Engineering Manager - Data Engineering & Insights position at Otter is located in Seattle, WA (On-site). Always check Otter's application page for specific state eligibility or relocation policies.
What qualifications are required for Engineering Manager - Data Engineering & Insights at Otter?
For the Engineering Manager - Data Engineering & Insights role, Otter highlights 4+ years of relevant experience; experience with data modeling, semantic layers, data governance and lineage. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Engineering Manager - Data Engineering & Insights position at Otter?
This listing links directly to Otter's Greenhouse application page. You can apply directly on Otter's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.