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Trainee Databricks Data Engineer Jobs in Renton, WA

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 ...

Data Engineer

Seattle, WA · On-site

$130K - $150K/yr

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 ...

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

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 ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

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 ...

Azure Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

The role requires strong experience in Azure and Databricks, focusing on data engineering responsibilities. Qualifications : Required : • 10+ yrs of IT experience • Minimum 3 yrs of experience in ...

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 ...

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 ...

Showing results 21-40

Trainee Databricks Data Engineer information

See Renton, WA salary details

$50.1K

$145.9K

$199.7K

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

As of Sep 10, 2026, the average yearly pay for trainee databricks data engineer in Renton, WA is $145,908.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $154,700.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

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

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

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

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

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

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

What cities near Renton, WA are hiring for Trainee Databricks Data Engineer jobs?

Cities near Renton, WA with the most Trainee Databricks Data Engineer job openings:

Infographic showing various Trainee Databricks Data Engineer job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $145,908 per year, or $70.1 per hour.

Staff Software Engineer - Money Team

Bellevue, WA • On-site

Databricks
Software Development • 5 - 10K employees

$182K - $247K/yr

Full-time

Re-posted 5 days ago


Job description

Staff Software Engineer - Money Team
P-940
At Databricks, we are obsessed with Data + AI to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.
Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 6500 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world.
The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies and cutting-edge engineering. Our team ensures timely, accurate, and customizable billing and usage data, alongside budgeting, forecasting, and cost optimization tools. We provide a seamless and consistent billing experience for all our customers, whether they are large enterprises or individual developers, across different pricing plans and cloud providers (AWS, GCP & Azure).
As a software engineer on the Money team, you will be closely involved in the entire billing process, including usage ingestion, metering, pricing, credits, promotions, payments, usage reporting, and cost center and budgeting. Your role is crucial in democratizing data by bringing Databricks products to market. By collaborating with marketing, product teams, commercialization experts, data scientists, IT, and customer support, you will standardize billing experiences across major cloud providers, offering our customers a unified "sky computation" experience. This role involves utilizing the latest Databricks products and tools within the ecosystem.
The impact you will have:
  • Design and manage the Money systems and services, commercializing all Databricks products and offerings.
  • Develop innovative primitives that enable and support various pricing strategies such as Pay-As-You-Go, commissions, credits, trials, and promotions.
  • Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
  • Collaborate with commercialization experts to develop and implement innovative pricing strategies and plans.
  • Use AI and LLMs to innovate in cost insight, prediction, and optimization across various cloud providers.
  • You will become an expert at using the Databricks Data + AI tools
  • Provide leadership in long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
  • Represent Databricks at academic and industrial conferences & events.

What we look for:
  • BS or higher degree in Computer Science or a related field.
  • Technical leadership experience in large projects similar to those described, including near real-time large data processing and distributed service infrastructure management.
  • Proven track record of building, shipping, and managing reliable, distributed services and data pipelines at scale.
  • Demonstrated leadership skills and the ability to lead across functional and organizational boundaries.
  • A proactive approach and a passion for delivering high-quality solutions

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
$182,400-$247,000 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.