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Director Data Engineering Jobs in Bothell, WA (NOW HIRING)

Slope

Data Engineer, Core Experimentation

Seattle, WA · On-site

$293K - $325K/yr

We partner closely with product, engineering, and infrastructure teams to ensure experiments are ... have a direct, adverse and negative relationship with the following job duties, potentially ...

OpenAI

Data Engineer, Core Experimentation

Seattle, WA · On-site

$347K - $385K/yr

We partner closely with product, engineering, and infrastructure teams to ensure experiments are ... have a direct, adverse and negative relationship with the following job duties, potentially ...

HMG America

Data Architect (AWS Databricks)

Seattle, WA · On-site

$73.75 - $96.75/hr

One of our direct clients is looking for Data Architect (AWS Databricks) in Seattle, WA / Dallas ... This role combines deep hands-on engineering with team leadership, covering data ingestion ...

Socket.dev

IT Data & Analytics Manager

Bellevue, WA · On-site

... developers * A track record of being self-directed -- you don't need a playbook handed to you, you ... Microsoft Certified: Azure Data Engineer Associate or related Data Platform Certification

Pwc

Data Strategy & Governance -Director

Seattle, WA · On-site

$155K - $410K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Pwc

AI & GenAI Data Scientist - Manager

Seattle, WA · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

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All JobsData Engineering JobsDirector Data Engineering JobsDirector Data Engineering Jobs in Bothell, WA

Director Data Engineering information

See Bothell, WA salary details

$83K

$221.3K

$288.7K

How much do director data engineering jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director data engineering in Bothell, WA is $221,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $160,800.00 and $287,600.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What are the most commonly searched types of Data Engineering jobs in Bothell, WA?

The most popular types of Data Engineering jobs in Bothell, WA are:

What are popular job titles related to Director Data Engineering jobs in Bothell, WA?

For Director Data Engineering jobs in Bothell, WA, the most frequently searched job titles are:

What job categories do people searching Director Data Engineering jobs in Bothell, WA look for?

The top searched job categories for Director Data Engineering jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Director Data Engineering jobs?

Cities near Bothell, WA with the most Director Data Engineering job openings:

Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Bothell, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 10% Part Time, and 9% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $221,334 per year, or $106.4 per hour.

Data Engineer, Analytics (Technical Leadership)

Bellevue, WA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$210K/yr

Full-time

Re-posted 6 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will view a direct correlation between your work, company growth, and user satisfaction. You’ll work with some of the best minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.The ideal candidate will have demonstrated experience in data infrastructure and data architecture as well as areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies.As we continue to expand and create, we have a lot of exciting work ahead of us!
Data Engineer, Analytics (Technical Leadership) Responsibilities:
  • Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
  • Define and manage SLA for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains
  • Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years experience in the data warehouse space
  • 10+ years experience in custom ETL design, implementation and maintenance
  • 10+ years experience with object-oriented programming languages
  • 10+ years experience with schema design and dimensional data modeling
  • 10+ years experience in authoring SQL statements
  • Experience analyzing data to identify deliverables, gaps and inconsistencies
  • Experience managing and communicating data warehouse plans to internal clients

Preferred Qualifications:
  • BS/BA in Technical Field, Computer Science or Mathematics
  • Experience working with either a MapReduce or an MPP system
  • Knowledge and practical application of Python
  • Experience working autonomously in global teams
  • Experience influencing product decisions with data
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$210,000/year to $281,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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