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Databricks Data Engineer Jobs in Bellevue, WA (NOW HIRING)

Dlapiper

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Vibotek LLC

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Vibotek LLC is a technology company seeking a Data Engineer. The role involves ingesting and ... Required : • Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role combines deep data engineering expertise in the Databricks Lakehouse ecosystem with hands-on experience in designing and operating cloud infrastructure-as-code (IaC) on AWS using Terraform

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$125K/yr

Preferred: · Building data pipelines in Azure Databricks/Fabric/Spark. · Working with data in ... engineering use cases (feature engineering, feature stores, model training/serving datasets, and ...

Noblesoft Technologies

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineer Location: Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of ... Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks (PySpark)

Brillio

Lead Data Engineer - R01568940

Seattle, WA

$130K - $156K/yr

Building data pipelines in Azure Databricks/Fabric/Spark. Working with data in delta lake format ... engineering use cases (feature engineering, feature stores, model training/serving datasets, and ...

Databricks

Staff Software Engineer - IAM

Bellevue, WA · On-site

$181K - $261K/yr

P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

Databricks

Principal Engineer - Privacy

Seattle, WA · On-site

$220K - $297K/yr

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

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 ...

Fred Hutchinson Cancer Research Center

Data Engineer IV

Seattle, WA

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role combines deep data engineering expertise in the Databricks Lakehouse ecosystem with hands-on experience in designing and operating cloud infrastructure-as-code (IaC) on AWS using Terraform

Fred Hutchinson Cancer Research Center

Data Engineer IV

Seattle, WA

$130K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role combines deep data engineering expertise in the Databricks Lakehouse ecosystem with hands-on experience in designing and operating cloud infrastructure-as-code (IaC) on AWS using Terraform

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Showing results 41-60

All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Bellevue, WA

Databricks Data Engineer information

See Bellevue, WA salary details

$50.2K

$146.4K

$200.3K

How much do databricks data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for databricks data engineer in Bellevue, WA is $146,403.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $155,200.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

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

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

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

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

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

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Bellevue, WA as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,403 per year, or $70.4 per hour.

Sr. Data Engineer with Unity Catalog

R2 Technologies Corporation

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 13 days ago

Job description

Overview:
Sr. Data Engineer with Unity Catalog
Sr. Data Engineer with Unity Catalog
Location - Seattle WA- 4 days office
Duration - 12 months
Core skills -
Collaborate with cross-functional teams to support data governance using Databricks Unity Catalog
Need to coordinate with Offshore
10-12+ years of experience in data engineering or a related field
Expertise with programming languages such as Python/PySpark, SQL, or Scala
• Experience working in a cloud environment (Azure preferred) with strong understanding of cloud data architecture
. Hands-on experience with Databricks Cloud Data Platforms Required.
-Should have experience migrating to Unity Catalog.
• Experience with workflow orchestration (e.g., Databricks Jobs, or Azure Data Factory pipelines) Required
Responsibilities -
Design, build, and deploy data extraction, transformation, and loading processes and pipelines from various sources including databases, APIs, and data files.
• Develop and support data pipelines within a Cloud Data Platform, such as Databricks
Build data models that reflect domain expertise, meet current business needs, and will remain flexible as strategy evolves
• Monitor and optimize Databricks cluster performance, ensuring cost-effective scaling and resource utilization
• Demonstrates ability to communicate technical concepts to non-technical audiences both in written and verbal form.
Demonstrates strong understanding with coding and programming concepts to build data pipelines (e.g. data transformation, data quality, data integration, etc.). . Demonstrates strong understanding of database storage concepts (data lake, relational databases, NoSQL, Graph, data warehousing).
Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning
Automate CI/CD pipelines for data workflows using Azure DevOps
Skills:
Databricks Unity Catalog,Python/PySpark,Azure Data Factory

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