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Trainee Databricks Data Engineer Jobs in Bothell, 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 ...

Lead Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

... Databricks • Build data models that reflect domain expertise, meet current business needs, and ... programming concepts to build data pipelines (e.g. data transformation, data quality, data ...

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

Seattle, WA · On-site

$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 ...

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

... 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 with Databricks, SQL

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer with Databricks, SQL Location: Bellevue, WA Duration: 6 Months Job Type: Temporary Assignment Work Type: Hybrid ABOUT THE ROLE * Our team builds and maintains data products within the ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

LEAD DATA ENGINEER

Seattle, WA · On-site

$130K - $156K/yr

... Databricks • Build data models that reflect domain expertise, meet current business needs, and ... programming concepts to build data pipelines (e.g. data transformation, data quality, data ...

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 ...

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Showing results 1-20

Trainee Databricks Data Engineer information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

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

As of Jun 17, 2026, the average yearly pay for trainee databricks data engineer in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Data Engineer can be competitive, as it requires strong skills in Spark, cloud platforms, and data pipeline development. Candidates often need relevant experience, technical certifications, and a solid understanding of big data tools to improve their chances.

Does Databricks hire new grads?

Databricks often hires new graduates for entry-level roles such as Trainee Data Engineer positions. These roles typically require familiarity with cloud platforms, data processing tools, and programming languages like Python or SQL. Candidates should review specific job postings for qualification details and preferred skills.

How much do Databricks data engineers make?

Databricks data engineers typically earn between $90,000 and $140,000 annually, depending on experience, location, and skill level. Professionals with expertise in Spark, cloud platforms, and data pipeline development tend to command higher salaries.

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.

Is 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 popular job titles related to Trainee Databricks Data Engineer jobs in Bothell, WA? For Trainee Databricks Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Bothell, WA look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Trainee Databricks Data Engineer jobs? Cities near Bothell, WA with the most Trainee Databricks Data Engineer job openings:
Sr. Product Manager, Databricks Repos

Sr. Product Manager, Databricks Repos

Databricks

Seattle, WA • On-site

$148K - $204K/yr

Full-time

Posted 13 days ago


Job description

RDQ427R130
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. Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
More about the team:
A great platform needs an exceptional developer experience. Databricks Repos is the source control and workflow foundation that powers how data engineers, ML engineers, and analysts manage code, collaborate with teammates, and ship data and AI applications to production. The Repos team builds the version control experience inside Databricks and defines how users connect their Git providers, manage code changes, track lineage, review pull requests, and promote code into jobs, pipelines, and deployments.
We are responsible for creating a simple, reliable, AI native workflow that blends the best of Git style development with the unique needs of data and AI teams. Our mission is to provide a smooth authoring to production journey across notebooks, SQL, Python, and Lakeflow, all in a unified platform.
You will drive the vision and roadmap for Databricks Repos and define how developers build, test, review, and ship code inside Databricks. You will work across Workflows, Notebooks, Lakeflow, Data Management, and the broader Developer Experience teams to deliver an integrated and intuitive path to production.
The impact you will have:
  • You will design the end to end path to production experience for data and AI teams, from authoring to Git integration to CI and CD.
  • You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching, pull requests, reviews, conflict resolution, and deployment workflows.
  • You will partner with engineers to build AI assisted code management features such as automated code suggestions, recommended diffs, merge help, and deployment validation.
  • You will represent the voice of the customer and translate user feedback into workflow improvements that simplify source control and release management.
  • You will improve developer productivity and reliability by aligning Repos with Databricks Workflows, Lakeflow, and deployment surfaces.
  • You will help grow adoption of Databricks developer tools by working closely with solutions architects, customer success teams, and enterprise platform owners.
  • You will grow end-user engagement with Databricks developer tools working closely with sales and customer success teams.

What we look for:
  • 5+ years of experience as a Product Manager working on platform products
  • Experience building developer-facing products (tools, frameworks, SDKs) with tens or hundreds of thousands of users
  • Experience being a hands-on builder, must be comfortable using our own developer-facing products.
  • Passion for designing products that simplify user experience of technically complex products.

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.
Zone 2 Pay Range
$148,800-$204,525 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.