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Director Databricks Data Engineer Jobs in Seattle, WA

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 ...

New

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 ...

Data Engineer - Senior Associate

Seattle, WA

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Data Engineer

Seattle, WA

$130K - $156K/yr

The Data Engineer will be responsible for designing, building, and maintaining robust and scalable ... Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI ...

Associate Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... and Databricks (Delta Lake, Unity Catalog) per the design. • Apply medallion (bronze, silver ... directed project work. • Must be located in the United States. • 1+ years of hands-on data ...

Data Engineer - Manager

Seattle, WA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

P-1110 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... We're seeking a dedicated Engineering Leader to spearhead Spark™ Structured Streaming development ...

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 ...

Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications (or willingness to obtain within 6 months). * Background in SaaS, cloud, or data platforms ...

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:

Showing results 21-40

Director Databricks Data Engineer information

See Seattle, WA salary details

$83.1K

$221.6K

$289.1K

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

As of Aug 14, 2026, the average yearly pay for director databricks data engineer 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 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 Director Databricks Data Engineer jobs?

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

Data Engineer

Trupanion

Seattle, WA • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New


Trupanion rating

9.6

Company rating: 9.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 307 rated insurance


Job description

Company Description

Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. At Trupanion, we offer a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.

Job Description

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 role, you will be on the cutting edge of data engineering-thinking, designing, and documenting data marts.

We are looking for a dynamic, forward-thinking engineer who is passionate about the latest developments in the data ecosystem and places the utmost importance on data quality and governance. You will work closely with your team and peers to drive the evolution of continuous delivery, automated quality frameworks, and agile data products.

This position is open across the United States with a preference for those in Seattle or the East Coast time zone. Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual, pet-friendly office at least 3 days a week

What you will do

  • Data Ingestion & Pipeline Reliability: Responsible for ensuring continuous, accurate data availability by monitoring, troubleshooting, and optimizing batch and real-time streaming pipelines across the Medallion architecture to deliver stable, high-availability data feeds with minimal downtime.
  • Data Mart Delivery & Business Modeling: Responsible for delivering query-ready Gold-layer data marts, dimensional models, and aggregate tables by partnering directly with Data Analytics and Data Science teams to map business requirements into high-performance user-facing schemas.
  • Data Contract Validation & Ingestion Quality: Responsible for protecting the integrity of the Lakehouse by configuring automated validation gates and alerts at the ingestion stage to catch and block corrupt or non-compliant source data
  • Data Quality Frameworks & Precision: Responsible for maintaining flawless data integrity and trust across all data products by writing, deploying, and maintaining automated data quality test suites and expectations for key transformation stages.
  • Data Governance & Asset Discoverability: Responsible for ensuring all data assets are easily discoverable by documenting schemas, applying metadata tags
  • Cross-Functional Collaboration & Autonomy: Responsible for serving as an autonomous data engineering partner to downstream teams by proactively investigating data discrepancies, resolving support tickets, and aligning business definitions to unblock analysts and data scientists.

Experience you have:  

  • Education: Bachelor's level degree or higher in Computer Science, Engineering, or equivalent practical experience.
  • Core Data Engineering: Minimum 2+ years of experience designing, building, and enhancing high-performance pipelines (ETL/ELT) and building optimized Data Marts across the enterprise.
  • Databricks Ecosystem: Minimum 2+ years of deep technical experience within a Databricks-centric environment leveraging:
    • Delta Lake & Apache Spark (PySpark / SparkSQL)
    • Unity Catalog for data governance, lineage, and documentation
    • Delta Live Tables (DLT) or similar orchestration tools
  • Data Quality First: Proven experience implementing robust data quality, testing, and monitoring frameworks (e.g., Great Expectations, Databricks Expectations, or custom data quality gates) to ensure flawless data integrity.
  • DevOps & Lifecycle: Experience required with software and infrastructure change management, CI/CD pipelines (Azure DevOps/GitHub Actions), and source code control.

What you'll bring:  

  • Modern Lakehouse Architecture: Passion for the latest industry trends, including the Medallion Architecture (Bronze/Silver/Gold), Data Contracts, and decentralized data design.
  • Design & Documentation: Strong conceptual thinker who doesn't just build, but actively designs and documents data assets, schemas, and definitions directly within Unity Catalog.
  • Pipeline Versatility: Hands-on experience implementing data pipelines for a variety of flows, including batch data integrations, real-time streaming analytics (Structured Streaming), and big data analytics.
  • Observability: Experience setting up comprehensive logging, alerting, and monitoring solutions for Spark jobs and data pipelines.
  • Agile & Dynamic Mindset: Thrives in a fast-paced, Agile software development environment, with a strong proactive drive to learn and adopt new tools and features as the Databricks ecosystem evolves.
     

Compensation: 

  • Thebasesalaryrange for this position is$130,000 - $150,000, on a full-time schedule. 
  • Along with base compensation, Trupanion employees are currently eligible for monthly bonuses.
  • We want all employees to be invested inTrupanion'ssuccess, so we grant Restricted Stock Units to all new team members. Our new hire grants vest over 4 years. 
Additional Information

Benefits and Perks:

  • Full medical, dental, and vision benefits at no cost to the employee
  • Four weeks of paid time off and 9 paid float holidays (you can decide which days are most important to you!)
  • Five-week sabbatical after five years of employment
  • Open, casual, pet-friendly, and fun office environment
  • Free medical health insurance for your pet (1 dog or cat)
  • Paid time off to volunteer at nonprofit organizations
  • Seattle Office Amenities: Free on-site gym, free dog walking services for office pets during business hours, free parking, and paid ORCA cards.

For more information about Trupanion, visit https://trupanion.com/about

Learn more about how Trupanion has revolutionized our industry and the reimbursement model: https://www.youtube.com/watch?v=vdWZ4KHiPTQ

Trupanion is an equal-opportunity employer and embraces diversity. We are committed to building a team that represents a variety of backgrounds, abilities, perspectives, and skills.

We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodations.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.


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