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

Globenet Consulting Corp

Lead Data Engineer

Lynnwood, WA · 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 ...

Databricks

Senior Software Engineer - Money Team

Bellevue, WA · 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 ...

Databricks

Sr. Product Manager, Data Governance

Seattle, WA · 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 ...

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 ...

Databricks

Engineering Manager - Streaming

Bellevue, WA · On-site

Databricks is a data and AI company that empowers data teams to tackle complex challenges through its advanced data and AI infrastructure platform. The Engineering Manager for Streaming will lead the ...

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

Databricks Data Engineer information

See Bellevue, WA salary details

$49.9K

$145.6K

$199.2K

How much do databricks data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for databricks data engineer in Bellevue, WA is $145,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,500.00 and $154,300.00 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.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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:

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

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 88% Full Time, and 12% Contract. Highlights an 89% In-person, 3% Hybrid, and 8% Remote job distribution, with an average salary of $145,592 per year, or $70 per hour.

Strategic Databricks Data Architect

SoftSages Technology

Seattle, WA • On-site

$72.50 - $93.25/hr

Other

Re-posted 14 days ago

Job description

Job Description

Job Title: Strategic Databricks Data Architect
Location: Onsite 4 days/week, SeaTac, Seattle(WA)
Requirements: LinkedIn profile and Driver's License required
Interview: Video
Preference: Prior Transportation and logistic experience

Overview:

Strategic Data Engineering Architect (Databricks / BI)

Seeking a visionary data leader to drive architecture, strategy, and execution for scalable data platforms. Must have deep Databricks expertise, strong BI/ETL background, and the ability to influence at all levels.

Key Focus Areas:

  • Architect and lead modern data solutions

  • Define best practices and reusable frameworks

  • Align data engineering with business goals

  • Collaborate across DevOps/MLOps/DataOps

  • Mentor teams and champion innovation

This is a high-impact, brand ambassador role-perfect for a bold communicator and strategic thinker.

Internal Notes

VENDOR NOTES:

Based on feedback from two interviews; our client is asking for more databricks architects, looking for more "solutioning experience". The resume attached (Gowthaman) has "set the bar" for what the customer wants. No one "less than" this CV will be interviewed. (Have 2 sample resumes ask if needed)

  • We need updated / submitted resumes to be more concise. There are typically a lot of bullets right now and we need them all summarized more to focus on the areas that are relevant to the role (6 to 8 bullet points MAX each project. 3-4 pages max).
  • Must also fill out the "Demonstrated strengths in" part of resume, as it relates to this specific role.
  • Must have linkedin profiles WITH picture client is declining any and all who do not have this (LI must at least match CV)