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Flexible Databricks Data Engineer Jobs in Seattle, WA

Senior Software Engineer - Money Team

Bellevue, WA · On-site

$138K - $182K/yr

P-1253 At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from ... As a Sr. Software engineer on the Money team, you will be closely involved in the entire billing ...

Partner with world-class engineering and research teams to transform cutting-edge AI advancements ... Engage directly with data and AI leaders to uncover new use cases - then design products that make ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... and Databricks (Delta Lake, Unity Catalog) per the design. • Apply medallion (bronze, silver ... data engineering or software engineering experience, including internships and academic project ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Azure Synapse Analytics, Azure Data Lake, ANSI-SQL, Databricks, HDInsight Good to Have Skills:

Data Engineer

Seattle, WA

$130K - $156K/yr

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 ...

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)

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Spark Tek Inc is a company seeking a Data Engineer with a strong technical background in SQL and ... • Databricks • Java • Python • Scala • Snowflake Company : Spark Tek Inc offers ...

Showing results 41-60

Flexible Databricks Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Sep 3, 2026, the average yearly pay for flexible databricks data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 per year, depending on experience, location, and employer.

What is the difference between Flexible Databricks Data Engineer vs Cloud Data Engineer?

AspectFlexible Databricks Data EngineerCloud Data Engineer
CredentialsProficiency in Databricks, Spark, SQL, Python, cloud platforms (AWS, Azure, GCP)Cloud platform certifications (AWS, Azure, GCP), SQL, Python, data pipeline skills
Work EnvironmentData engineering within Databricks environment, collaborative teams, cloud infrastructureDesigning and managing data solutions on cloud platforms, often across multiple services
Industry UsageTech, finance, healthcare, retail using Databricks for big data processingBroad industry use, focusing on cloud infrastructure and data pipelines

Flexible Databricks Data Engineers specialize in building data pipelines within the Databricks platform, leveraging Spark and cloud services. Cloud Data Engineers focus on designing and maintaining data solutions across various cloud environments. Both roles require cloud and SQL skills, but the Databricks Data Engineer emphasizes Databricks-specific tools and Spark expertise.

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 cities near Seattle, WA are hiring for Flexible Databricks Data Engineer jobs?

Cities near Seattle, WA with the most Flexible Databricks Data Engineer job openings:

Sr. Staff Software Engineer - Unity Catalog Data Governance

Databricks

Bellevue, WA

Full-time

Re-posted 26 days ago


Job description

RDQ126R47

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.

Databricks Unity Catalog is the industry's only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability.

We are seeking a Senior Staff Software Engineer to lead the technical direction and development of Unity Catalog's enterprise-grade governance capabilities. In this role, you will drive the roadmap and execution of critical features that empower organizations to govern access to their Lakehouse assets at scale.

Key Responsibilities

  • Technical Leadership: Lead the design and delivery of high-impact projects, setting standards for security, usability, performance, and scalability. Mentor senior engineers and elevate development and operational best practices across the organization.
  • Product Ownership: Take full ownership of the Unity Catalog Governance product, driving it from initial concept to robust, scalable solutions with measurable business impact.
  • Cross-Functional Influence: Collaborate with product and infrastructure teams to align technical strategy and execution, ensuring seamless integration and adoption of governance features.
  • Operational Excellence: Champion the development of high-quality, reliable, and easy-to-operate software. Drive operational processes that deliver a seamless customer experience that is indistinguishable from perfect.

What We Look For

  • 15+ years of industry experience building and operating large-scale distributed systems.
  • Proven track record of driving initiatives focused on customer satisfaction and incremental delivery.
  • Deep computer science expertise (algorithms, data structures) with real-world application.
  • Strong leadership, communication, and cross-functional collaboration skills.
  • BS in Computer Science or related fields (MS/PhD preferred)
  • (Preferred) Experience in data governance, security, privacy, identity management, authentication, or access control.

Why Join Us?

  • Influence the direction of industry-leading data and AI governance solutions.
  • Work with world-class engineers and thought leaders in a collaborative, high-impact environment.
  • Competitive compensation, comprehensive benefits, and opportunities for professional growth.