1

Senior Databricks Data Engineer Jobs in Seattle, WA

Senior Databricks AI/ML Engineer

Seattle, WA ยท Remote

$150K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sr. Databricks AI/ML Engineer - Remote Location: Remote (must reside in (WA, OR, ID, OH, SC, TX, FL ... Familiarity with data engineering best practices and scalable architectures. * Excellent problem ...

Senior Databricks AI/ML Engineer

Seattle, WA ยท Remote

$150K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Sr. Databricks AI/ML Engineer - Remote Location: Remote (must reside in (WA, OR, ID, OH, SC, TX, FL ... Familiarity with data engineering best practices and scalable architectures. * Excellent problem ...

Senior Databricks AI/ML Engineer

Seattle, WA ยท On-site

$118K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

PEMCO has a dynamic and challenging opportunity for a Senior Databricks AI/ML Engineer to join our ... The engineer will collaborate closely with data scientists, actuaries, product owners, and ...

Senior Databricks AI/ML Engineer

Seattle, WA ยท On-site

$118K - $163K/yr

They are seeking a Senior Databricks AI/ML Engineer to build and deploy scalable AI/ML solutions across various insurance functions, collaborating with data scientists and engineers to operationalize ...

Senior Software Engineer - Money Team

Bellevue, WA ยท On-site

$137K - $181K/yr

Databricks is a data and AI company that builds and runs the world's best data and AI infrastructure platform. The Senior Software Engineer on the Money team will be involved in the entire billing ...

Sr. Product Manager, Data Governance

Seattle, WA ยท On-site

$144K - $190K/yr

Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA ...

Lead Data Engineer

Lynnwood, WA ยท On-site

$45 - $55/hr

Training & development Lead Data Engineer - Azure Databricks Location: Charlotte, North Carolina 28273 Work Arrangement: Onsite, 5 days per week Let's Create Our Future Together at The AES Group The ...

Data Engineer - Senior Associate

Seattle, WA ยท On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Data Engineer - Senior Manager

Seattle, WA ยท On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

next page

Showing results 1-20

Senior Databricks Data Engineer information

See Seattle, WA salary details

$67.7K

$144K

$208.8K

How much do senior databricks data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior databricks data engineer in Seattle, WA is $144,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $163,300.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are the most commonly searched types of Databricks Data Engineer jobs in Seattle, WA?

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

What are popular job titles related to Senior Databricks Data Engineer jobs in Seattle, WA?

For Senior Databricks Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Senior Databricks Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Seattle, WA are:

Infographic showing various Senior Databricks Data Engineer 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 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $144,025 per year, or $69.2 per hour.

Senior Databricks AI/ML Engineer

LHH US

Seattle, WA โ€ข Remote

$150K - $183K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Sr. Databricks AI/ML Engineer - Remote
Location: Remote (must reside in (WA, OR, ID, OH, SC, TX, FL, IL, NC)
Employment Type: Full-Time
About the Role
We are seeking a Sr. Databricks AI/ML Engineer with deep expertise in building AI applications and integrating advanced models into scalable solutions. This role emphasizes Retrieval-Augmented Generation (RAG) and hands-on experience with Azure and Databricks platforms.
Key Responsibilities
  • Design and develop AI-driven applications leveraging Azure OpenAI services and Databricks.
  • Implement RAG-based solutions and integrate existing models into enterprise workflows.
  • Translate business requirements into technical designs and deliver robust AI applications.
  • Utilize Databricks features such as Delta Tables and Medallion Architecture for data engineering and deployment.
  • Collaborate in an agile environment, adapting to evolving priorities and frequent changes.
  • Drive innovation and process improvement through AI technologies.
Preferred Qualifications
  • Proven experience in AI/ML application development and cloud platforms (Azure, Databricks).
  • Strong knowledge of RAG, large language models, and model integration.
  • Familiarity with data engineering best practices and scalable architectures.
  • Excellent problem-solving, communication, and presentation skills.
  • Ability to thrive in a dynamic team environment.
  • PNC domain experience is a plus but not required.
Compensation:
  • Greater Seattle area target pay range: $150,334-$183,742.
  • Outside greater Seattle area target pay range: $132,673-$162,155.
Why Join Us?
  • Work on cutting-edge AI solutions in a fast-paced, innovative environment.
  • Remote flexibility within approved states.
  • Collaborative culture focused on growth and continuous learning.
Apply Today: If you are passionate about building impactful AI applications and thrive in a dynamic setting, we'd love to hear from you.
Eligible employees receive medical, dental, and vision coverage with strong employer contributions, plus employer-paid life, AD&D, and short- and long-term disability insurance. A 401(k) plan with a generous employer match is also provided.
Paid time off includes accruing vacation, paid holidays, personal days, sick leave, and additional paid time for bereavement, jury duty, and community volunteering.
Additional benefits include flexible spending accounts, wellness and employee assistance programs, education support, and various employee discounts.
Equal Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements.
Pay Details: $150,334.00 to $183,742.00 per year
Search managed by: Devin Hurley
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.