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Intern Databricks Data Engineer Jobs in Bellevue, WA

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$186K/yr

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

Customer Enablement Specialist

Bellevue, WA · On-site

$86K - $119K/yr

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 ...

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

$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 ...

Vibotek LLC

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Vibotek LLC is a technology company seeking a Data Engineer. The role involves ingesting and ... Required : • Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests ...

Fred Hutchinson Cancer Center

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

This role combines deep data engineering expertise in the Databricks Lakehouse ecosystem with hands-on experience in designing and operating cloud infrastructure-as-code (IaC) on AWS using Terraform

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$125K/yr

Preferred: · Building data pipelines in Azure Databricks/Fabric/Spark. · Working with data in ... engineering use cases (feature engineering, feature stores, model training/serving datasets, and ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA

$130K - $156K/yr

Building data pipelines in Azure Databricks/Fabric/Spark. Working with data in delta lake format ... engineering use cases (feature engineering, feature stores, model training/serving datasets, and ...

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)

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All JobsIntern Databricks Data Engineer JobsIntern Databricks Data Engineer Jobs in Bellevue, WA

Intern Databricks Data Engineer information

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$15

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How much do intern databricks data engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for intern databricks data engineer in Bellevue, WA is $28.69, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $32.55 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

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:

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

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Intern Databricks Data Engineer jobs near you
Infographic showing various Intern Databricks Data Engineer job openings in Bellevue, WA as of June 2026, with employment types broken down into 71% Full Time, 8% Temporary, and 21% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $59,667 per year, or $28.7 per hour.

Staff Software Engineer - Money Team

Databricks

Bellevue, WA

Full-time

Re-posted 13 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
 

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