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Senior Databricks Data Engineer Jobs in Seattle, WA

Databricks

Sr Software Engineer-Networking

Bellevue, WA · On-site

$157K - $213K/yr

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest ... We are seeking experienced Senior Software Engineers with large-scale distributed system experience ...

Databricks

Staff Software Engineer - Streaming

Seattle, WA · On-site

$182K - $247K/yr

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems ... The role We're seeking an experienced Staff Engineer to drive the technical direction of Spark ...

CyberProof

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Responsibilities : • Execute assigned components of solution designs handed off by Senior and ... and Databricks (Delta Lake, Unity Catalog) per the design. • Apply medallion (bronze, silver ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$144K - $190K/yr

... of data and AI. The Sr. Product Manager for Databricks AI will shape the future of enterprise AI by defining and driving the vision for generative AI products, partnering with engineering teams to ...

Databricks

Customer Enablement Specialist

Bellevue, WA · On-site

$86K - $119K/yr

Databricks certifications or willingness to certify (Data Engineer Associate, Databricks ... It is a high-visibility, high-impact position with a clear growth path into senior CEA work as you ...

Databricks

Engineering Manager - Streaming

Bellevue, WA · On-site

$181K - $253K/yr

... data systems or database internals * Ability to attract, hire, and coach engineers who meet the Databricks hiring standards. Can up level existing team via hiring top-notch senior talent, growing ...

The Trade Desk

Senior Data Engineer

Bellevue, WA · On-site

$119K - $161K/yr

They are seeking a Senior Data Engineer to build reliable, scalable, and well-governed enterprise ... Databricks, Spark, and cloud storage. • Drive data modeling and warehouse design. Define and ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire * Design build and ... Data Factory Databricks and Apache Spark * Develop and optimize ETLELT workflows to ingest ...

Trupanion

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

  • Medical

  • Dental

  • Vision

  • PTO

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA

$125K/yr

Senior Data Engineer Job requirements * Data Engineer: Brillio is looking for a Data Engineer to ... Preferred: · Building data pipelines in Azure Databricks/Fabric/Spark. · Working with data in ...

Databricks

Principal Engineer, Authentication

Bellevue, WA · On-site

$266K - $365K/yr

P-1125 At Databricks, we are obsessed with enabling data teams to solve the world's toughest ... We are looking for senior leaders such as yourselves to create the vision and define the strategy ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Job Title: Data Engineer Job Location: Redmond WA Job Type: Contract * Design, develop, and ... Databricks. * Work with large-scale data lake and data warehouse solutions using Azure Synapse ...

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All JobsDatabricks Data Engineer JobsSenior Databricks Data Engineer JobsSenior Databricks Data Engineer Jobs in Seattle, WA

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.

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 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.

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:

Senior Databricks Data Engineer jobs near you
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.

Sr Software Engineer-Networking

Databricks

Bellevue, WA • On-site

$157K - $213K/yr

Full-time

Re-posted 6 days ago

Job description

(P-1286)
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.
Networking Infrastructure is a core part of the platform that powers all our data and AI products. The platform also powers key enterprise security features used by customers across all our products to build connectivity solutions to cloud resources and prevent data exfiltration.
We are seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. You will design and automate the networking foundations for large-scale compute clusters across all the major cloud providers, connecting millions of VMs running on Databricks. You will lead the design and development of secure and scalable connectivity that powers all the data / AI workloads. You will work closely with cross-functional teams, including product management, operations, and other engineering teams, to ensure the delivery of robust, scalable, and efficient networking systems. This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges.
What we look for:
  • 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language
  • 4+ years of experience developing large-scale distributed systems from scratch
  • Experience working on a SaaS platform or with Service-Oriented Architectures.
  • Extensive experience working on large-scale compute clusters, network connectivity, and automation.

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$157,000-$213,800 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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