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Director Data Engineer Jobs in Seattle, WA (NOW HIRING)

Associate Director, Data Engineering

Seattle, WA ยท On-site

$130K - $156K/yr

The Ideal Candidate You are a Data Engineer who approaches data engineering as a software engineering discipline. You have experience building reliable, scalable, and maintainable data platforms ...

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

Lead Data Engineer

Seattle, WA

$130K - $156K/yr

Our reputation for excellence is a direct result of our deep commitment to building the world ... Act as a technical mentor and coach a team of data engineers with diverse experience levels

Monks continues to expand our Global Enterprise Analytics capabilities, we are looking for a forward-deployed data engineer to serve as a high-exposure individual contributor embedded directly within ...

You'll be one of the analytics leaders for how Meta transforms its Enterprise through AI. This is a 01 role with enterprise-wide scope, high ambiguity,

Associate Data Engineer

Seattle, WA ยท On-site

$130K - $156K/yr

... directed project work. โ€ข Must be located in the United States. โ€ข 1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that ...

Director, Data Science

Bellevue, WA ยท On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

The Director, Data Science provides strategic and operational leadership for MCG's Data Science ... Working closely with Product, Engineering, Clinical, and executive leadership, the Director ...

Director- Data Science

Bellevue, WA ยท On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders to identify opportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Director, Data Science

Bellevue, WA ยท On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders toidentifyopportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

Director- Data Science

Bellevue, WA ยท On-site

$156K - $312K/yr

Partner with product, engineering, merchandising, and business stakeholders toidentifyopportunities and align on strategic initiatives. * Partner with other cross location data science teams to ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Manager, Data Engineer (Remote)

Home, WA ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ... Self-directed execution and ownership in a distributed environment, combined with strong cross ...

Manager, Data Engineer (Remote)

Home, WA ยท Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships ... Self-directed execution and ownership in a distributed environment, combined with strong cross ...

Lead Data Engineer

Seattle, WA ยท On-site

$116K - $153K/yr

Our reputation for excellence is a direct result of our deep commitment to building the world ... Act as a technical mentor and coach a team of data engineers with diverse experience levels

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Director Data Engineer information

See Seattle, WA salary details

$58.6K

$167.9K

$224.3K

How much do director data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for director data engineer in Seattle, WA is $167,909.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $223,200.00 per year, depending on experience, location, and employer.

How does a Director Data Engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

What are the key skills and qualifications needed to thrive as a Director Data Engineer, and why are they important?

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

What does a Director Data Engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.
What are the most commonly searched types of Data Engineer jobs in Seattle, WA? The most popular types of Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Director Data Engineer jobs in Seattle, WA? For Director Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Director Data Engineer jobs in Seattle, WA look for? The top searched job categories for Director Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Director Data Engineer jobs? Cities near Seattle, WA with the most Director Data Engineer job openings:
Infographic showing various Director Data Engineer job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $167,909 per year, or $80.7 per hour.

Associate Director, Data Engineering

Monks

Seattle, WA โ€ข On-site

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).
About the Role
.Monks is a digital-first marketing and advertising services company connecting the dots across content, data & digital media and technology services. Inspired by the connectivity and flexibility of technology APIs, .Monks' single-P&L model offers brands seamless access to a nearly 6,000-strong team of digital talent organized across 57 talent hubs in 33 countries.
With us, you'll find a diverse group of colleagues with different backgrounds and perspectives. We believe everyone has something of value to offer, and that sustaining a truly diverse, equitable and inclusive workplace begins with fostering an environment where people can be themselves, authentically, every day. We want to build something with the potential to change the heart of our industry, and we'd love to include your unique perspective.
Media Analytics
As .Monks continues to expand our Global Enterprise Analytics capabilities, we are looking for a forward-deployed data engineer to serve as a high-exposure individual contributor embedded directly within our client's business. In this role, your primary responsibility will be building, maintaining, and scaling production-level data pipelines and infrastructure within the client's ecosystem. You will architect robust data engineering solutions and write production-level code to ensure data integrity and scalability. While this is an engineering-first role, you will also work with the Data Science team to assist in their application of statistical modeling and machine learning to help turn raw data into actionable business decisions. This position requires a unique combination of deep technical engineering expertise and the business acumen to drive services development from within the client's business.
Responsibilities:
  • Design, build, and maintain scalable, reliable, and automated data pipelines using SQL, Python, and Databricks to support enterprise analytics.
  • Architect and optimize robust data models and infrastructure to ensure high data quality, integrity, and accessibility across the client's ecosystem.
  • Partner closely with the Data Science team to operationalize their work, deploying statistical and machine learning models into production environments using DataOps best practices.
  • Identify, design, and implement internal process improvements, including automating manual data processes and optimizing data delivery for scalability.
  • Collaborate with cross-functional teams to identify business problems, gather requirements, identify data sources, and provide data-driven solutions.
The Ideal Candidate
You are a Data Engineer who approaches data engineering as a software engineering discipline. You have experience building reliable, scalable, and maintainable data platforms using modern cloud-native technologies and engineering best practices. You are a proactive problem-solver who thrives in ambiguity. You take ownership of the full development lifecycle, are driven to understand the broader environment you work in, and actively identify and solve technical challenges (such as data inconsistencies or pipeline optimizations) without being prompted. You are a strong communicator and effectively kick-start your projects, seeking in-process guidance rather than waiting for project deadlines.
Requirements:
We are looking for someone who is experienced and familiar with the following tools:
  • Strong experience designing and building scalable data pipelines using modern cloud data platforms.
  • Solid understanding of modern data architecture, including ELT, data lakes/lakehouses, data warehouses, and metadata-driven frameworks.
  • Experience applying software engineering best practices to data development, including:
    • Version control (Git)
    • Code reviews and pull request workflows
    • Modular, reusable, and testable code
    • CI/CD pipelines
    • Automated testing (unit, integration, and data quality tests)
    • Infrastructure as Code
  • Proficiency in Python and SQL, with a focus on clean, maintainable, and well-tested code.
  • Experience with orchestration frameworks and workflow automation.
  • Familiarity with data modeling, data governance, lineage, observability, and monitoring.
  • Experience working in Agile teams and collaborating across engineering, analytics, and business stakeholders.
  • Ability to design metadata-driven and configuration-driven solutions instead of hard-coded implementations.
The essentials:
  • A Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field (or equivalent practical experience)
  • 5+ years of experience in data engineering, data warehousing, or building data infrastructure for marketing and business applications
  • Hands-on experience working with common ETL tools
  • Expertise across programmatic display, video, native, and ad serving technology, as well as digital advertising reporting, measurement, and attribution tools
  • Adept to agile methodologies and well-versed in applying DataOps methods to the construction of pipelines and delivery
  • Demonstrated ability to effectively operate both independently and in a team environment
  • Experience in the client/consulting workplace and capable of reprioritization based on evolving client needs
  • Added Bonus: You have expertise in designing and deploying AI workflows directly into a client's business environment

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.
#LI-OG1 #LI-Hybrid
What We Offer
Benefits
  • Excellent, full coverage medical, dental, and vision insurance - more about our coverage here!
  • Generous PTO and 15 company-wide holidays
  • 401k with company contribution
  • Paid parental leave
  • Work-life balance with an emphasis on personal well-being
  • Career growth in a disruptor space & entrepreneurial opportunities within the Monks network
  • A globally diverse & inclusive culture with employee resource groups such as S4 Melanin, Pride.Monks, Cultura.Monks, and more!
  • Authentic commitment to DEI efforts and sustainable growth. (Why Sir Martin Sorrell signed The Climate Pledge here!)

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company's then-current RTO policy, which is subject to change from time to time.
Monks has provided a compensation range that represents its good faith estimate of what Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate's sex or any other protected status.
Salary Range:
$130,000-$150,000 USD
About Monks
Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.
Monks was named a Contender in The Forrester Waveโ„ข: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger's Programmatic Power Players list every year (2020-24). Named Adweek's first AI Agency of the Year (2023) and The One Show's inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group's 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato's AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.
We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents-and resonates with-the world around us.