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

Senior Data Engineer (AWS Databricks)

Seattle, WA ยท On-site

$119K - $163K/yr

One of our direct clients is looking for Senior Data Engineer (AWS Databricks) in Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC . Below is the detailed . Title: Senior Data Engineer (AWS ...

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 ...

New

Data Engineer, Core Experimentation

Seattle, WA ยท 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 ...

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 ...

New

Data Architect (AWS Databricks)

Seattle, WA ยท 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 ...

... 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 ...

Showing results 41-60

Director Data Engineering information

See Seattle, WA salary details

$83.1K

$221.6K

$289.1K

How much do director data engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for director data engineering in Seattle, WA is $221,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $161,000.00 and $287,900.00 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 Seattle, WA?

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

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

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

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

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

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

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

Infographic showing various Director Data Engineering job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $221,584 per year, or $106.5 per hour.

Senior Data Engineer (AWS Databricks)

HMG America

Seattle, WA โ€ข On-site

$119K - $163K/yr

Other

Posted 7 days ago


Job description

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for Senior Data Engineer (AWS Databricks) in Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC. Below is the detailed job description.

Title: Senior Data Engineer (AWS Databricks)

Location: Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC (Hybrid . 1-2 days/ week)

Job Description:

ROLE OVERVIEW

We are looking for a Senior Data Engineer to own the design and delivery of modern data platforms built on AWS and Databricks. This role combines deep hands-on engineering, covering data ingestion, transformation, and warehousing across structured and unstructured sources.

KEY RESPONSIBILITIES

  • Deliver end-to-end data engineering solutions on AWS and Databricks, spanning ingestion, transformation, and warehousing layers.
  • Design scalable pipelines for structured and unstructured data, balancing reliability, performance, and cost efficiency.
  • Partner with architects and business stakeholders to translate requirements into robust, production-ready designs.
  • Establish and maintain standards for data quality, governance, and platform scalability.

WHAT WE'RE LOOKING FOR

MUST-HAVE SKILLS

AWS Services - Hands-on expertise across core AWS services spanning compute, storage, orchestration, and security in production environments.

Databricks Platform - Deep proficiency in Databricks, including Delta Lake, Unity Catalog, cluster management, and job orchestration at scale.

Data Engineering Lifecycle - Proven ability to design and operate ingestion, transformation, and warehousing pipelines across structured and unstructured data.

GOOD-TO-HAVE SKILLS

Agentic AI Exposure - Working understanding of agentic AI concepts and frameworks, and how they apply within modern data platforms.

Manufacturing Industry Knowledge - Familiarity with manufacturing industry data landscapes, processes, and common use cases.

Data Modelling - Understanding of data modelling principles, including dimensional and canonical modelling approaches.