Engineering Manager - Data Engineering & Insights

Cssmerge; Seattle (WA); On-site; USD 224,000 - 283,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) plan

Discretionary vacation days

Paid parental leave

Job summary

Cssmerge is seeking a hands-on Engineering Manager in Seattle to lead the evolution from traditional analytics to a next-generation intelligence platform. This role involves managing data behind a significant portion of online food orders in the US, optimizing processes, and leading a talented team.

The ideal candidate has extensive experience in engineering management and data governance, capable of driving customer-facing analytics and building AI-enabled insights. The role offers a competitive compensation package, including equity awards and performance-based bonuses.

Qualifications

• 4+ years of experience leading engineering teams across data/platform and product domains.
• Proven track record building and scaling diverse teams.
• Strong background in data modeling and semantic layers.
• Experience implementing data lineage and quality frameworks.
• Ability to collaborate closely with PMs, designers, and executives.

Responsibilities

• Lead the strategy for Business Manager and ensure seamless analytics.
• Drive real-time and batch data pipelines.
• Establish data governance standards across teams.
• Deliver data-intensive, customer-facing applications.
• Build and mentor a cross-functional team of engineers.

Skills

Team Leadership

Data Modeling

Data Governance

Full-Stack Development

AI Foundations

Tools

SQLMesh

dbt

Cube

React

TypeScript

Job description

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.

Desired 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.

Compensation

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