ZipRecruiter

Log In

1

Contract Databricks Data Engineer Jobs in Renton, WA

Databricks

Staff Software Engineer - Streaming

Seattle, WA · On-site

$182K - $247K/yr

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems ... The role We're seeking an experienced Staff Engineer to drive the technical direction of Spark ...

Pwc

Data Engineer - Senior Manager

Seattle, WA · On-site

$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 ...

ClifyX

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 ...

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 ...

previous pagenext page

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 Sep 6, 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 is a contract Databricks data engineer?

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 skills and qualifications are needed to thrive as a contract Databricks data engineer?

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 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.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

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.

Staff Software Engineer - Streaming

Databricks

Seattle, WA • On-site

$182K - $247K/yr

Full-time

Re-posted 6 days ago

Job description

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 turn deep data insights into better business outcomes.
We are the Spark Structured Streaming team, responsible for building stream processing into Apache Spark and the Databricks Data Intelligence Platform. Stream processing is still in its early days, and we're here to build not only state-of-the-art streaming technology but also a best-in-class managed offering for customers to run their streaming workloads.
The role
We're seeking an experienced Staff Engineer to drive the technical direction of Spark Structured Streaming, spanning both open source and Databricks-specific components. Your mission is to make Spark Structured Streaming the state-of-the-art stream processing engine - adding advanced capabilities such as sophisticated state management and new operators, while re-imagining the engine's architecture to drive improvements for latency, throughput, and cost.
What you'll do:
  • Set and drive the technical vision for Spark Structured Streaming across OSS and the Databricks Data Intelligence Platform
  • Design and build core engine capabilities - state management, new operators, and architectural improvements to latency and throughput
  • Raise the bar for engineering quality and operability, building software that is not just high quality but easy to run in production
  • Make company-wide impact by driving stream processing adoption across the Databricks product portfolio
  • Guide long-term architecture and technical-debt decisions, balancing them against the product roadmap
  • Mentor and technically lead engineers on the team, and partner with the Engineering Manager to attract and grow top-tier talent

What we look for:
  • BS (or higher) in Computer Science or a related technical field, or equivalent practical experience
  • 8+ years building related systems - big-data ecosystems, Apache Spark, or database internals
  • A passion for database systems, storage systems, distributed systems, language design, or performance optimization
  • Comfortable working toward a multi-year vision with incremental deliverables
  • A track record of delivering features while maintaining a high bar for operational excellence and engineering quality
  • Comfortable working cross-functionally with product management and directly with customers, with the ability to deeply understand the product and customer personas

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.

Apply