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Data Engineering Jobs in Federal Way, WA (NOW HIRING)

Dlapiper

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Dlapiper

Data Engineer

Seattle, WA · Hybrid

$130K - $156K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Weekday AI

Data Engineer - Finance

Bellevue, WA · On-site

$60 - $85/hr

Collaborate closely with finance and engineering stakeholders to translate business requirements into reliable data infrastructure solutions. * Own end-to-end data quality by identifying ...

QXO

Staff Software Engineer, Data

Seattle, WA · On-site

$130K - $156K/yr

Drive data engineering best practices including Data Discovery, Naming Conventions, Data Quality frameworks, Operational Excellence, and Security standards. * Make architectural trade-offs between ...

QXO

Staff Software Engineer, Data

Seattle, WA · On-site

$175K - $400K/yr

Drive data engineering best practices including Data Discovery, Naming Conventions, Data Quality frameworks, Operational Excellence, and Security standards. * Make architectural trade-offs between ...

Hasbro

Manager, Data Platform Engineering

Renton, WA · On-site

This team builds and operates the shared platform that data engineers, analytics engineers, data scientists, and ML engineers depend on every day, and which provides the critical substrate for an AI ...

ZipRecruiter

Engineering Manager, Big Data

Seattle, WA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we're working on data driven systems and applications and we're looking for ...

Northern Base

C#/.NET and Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Must Have Technical/Functional Skills Data Engineering; PL/SQL; ADF; Digital : Azure Databricks; ASP.NET 2.0; C# 4.0 Roles & Responsibilities Software Engineering (C#/.NET) Strong experience ...

ZipRecruiter

Engineering Manager, Big Data

Seattle, WA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we're working on data driven systems and applications and we're looking for ...

ZipRecruiter

Engineering Manager, Big Data

Seattle, WA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team. Our business is complex; we're working on data driven systems and applications and we're looking for ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

In this role, you will be on the cutting edge of data engineering-thinking, designing, and documenting data marts. We are looking for a dynamic, forward-thinking engineer who is passionate about the ...

Trupanion

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

In this role, you will be on the cutting edge of data engineering-thinking, designing, and documenting data marts. We are looking for a dynamic, forward-thinking engineer who is passionate about the ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Implement data governance quality and security best practices across all data engineering processes * Lead the integration of cloudnative data services eg Azure Synapse ADLS Azure SQL Cosmos DB into ...

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Showing results 21-40

All JobsData Engineering JobsData Engineering Jobs in Federal Way, WA

Data Engineering information

See Federal Way, WA salary details

$51.4K

$184.3K

$271.9K

How much do data engineering jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data engineering in Federal Way, WA is $184,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,100.00 and $189,800.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are popular job titles related to Data Engineering jobs in Federal Way, WA?

For Data Engineering jobs in Federal Way, WA, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Federal Way, WA look for?

The top searched job categories for Data Engineering jobs in Federal Way, WA are:

What cities near Federal Way, WA are hiring for Data Engineering jobs?

Cities near Federal Way, WA with the most Data Engineering job openings:

Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Federal Way, WA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $184,282 per year, or $88.6 per hour.

Engineering Manager - Data Engineering & Insights

Seattle, WA • On-site

ATOMS Careers page
See more jobs at ATOMS Careers pageexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

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.
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.

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.

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

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