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Contract Databricks Data Engineer Jobs in Renton, WA

Pwc

Data Engineer - Senior Associate

Seattle, WA

$77K - $202K/yr

... 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 ...

Pwc

Data Engineer - Senior Manager

Seattle, WA

$124K - $280K/yr

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

PBK

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

PBK

Data Engineer

Seattle, WA

$130K - $156K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

Vibotek LLC

Data Engineer

Seattle, WA

$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 ...

Pwc

Data Engineer - Manager

Seattle, WA · On-site

... 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 ...

Databricks

Engineering Manager - Streaming

Bellevue, WA · On-site

$181K - $253K/yr

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 ...

Merican

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

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148K - $204K/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 ...

Merican

Data Engineer with Databricks and Spark

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer with Databricks and Spark Location: Bellevue, WA Duration: 5 Months Job Type: Temporary Assignment Work Type: Onsite/Hybrid * This role builds, and maintains scalable data pipelines and ...

Databricks

Sr. Product Manager, Databricks AI

Seattle, WA · On-site

$148K - $204K/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 ...

Merican

Data Engineer with Databricks and Spark

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer with Databricks and Spark Location: Bellevue, WA Duration: 4 Months Job Type: Temporary Assignment Work Type: Onsite/Hybrid * This role builds, and maintains scalable data pipelines and ...

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Showing results 21-40

All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Renton, WA

Contract Databricks Data Engineer information

See Renton, WA salary details

$50.1K

$145.9K

$199.7K

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

As of Jul 24, 2026, the average yearly pay for contract 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 are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
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 job categories do people searching Contract Databricks Data Engineer jobs in Renton, WA look for? The top searched job categories for Contract Databricks Data Engineer jobs in Renton, WA are:
What cities near Renton, WA are hiring for Contract Databricks Data Engineer jobs? Cities near Renton, WA with the most Contract Databricks Data Engineer job openings:
Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in Renton, WA as of June 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $145,908 per year, or $70.1 per hour.
Sr. Staff Software Engineer - Money Team

Sr. Staff Software Engineer - Money Team

Databricks

Bellevue, WA • On-site

$217K - $298K/yr

Full-time

Posted 14 days ago

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

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
$217,100-$298,550 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.

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