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Trainee Databricks Data Engineer Jobs in Bothell, WA

CyberProof

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 ...

Staffingine LLC

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:

Dlapiper

Data Engineer

Seattle, WA · On-site

$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 ...

Noblesoft Technologies

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)

Spark Tek Inc

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 ...

Databricks

Principal Engineer - Privacy

Seattle, WA · On-site

$220K - $297K/yr

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

Databricks

Staff Software Engineer - IAM

Bellevue, WA · On-site

$181K - $261K/yr

P-1126 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

Databricks

Sr Software Engineer-Networking

Bellevue, WA · On-site

$157K - $213K/yr

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest ... We are seeking experienced Senior Software Engineers with large-scale distributed system experience ...

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All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Bothell, WA

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 Sep 10, 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.

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.

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Trainee Databricks Data Engineer jobs near you

Sr. Staff Software Engineer - Money Team

Bellevue, WA • On-site

Databricks
Software Development • 5 - 10K employees
Learn more about Databricksexternal

Full-time

Re-posted yesterday

Job description

RDQ127R9

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 Sr. Staff 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.
  • 9+ years of experience building 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

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