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Contract Databricks Data Engineer Jobs in Renton, WA

Purple Drive Technologies

Databricks Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

POSITION SUMMARY We are seeking an experienced Data Engineer specializing in Databricks platform for a 6-month contract position based in Seattle, WA. This role focuses on designing, building, and ...

Deloitte

Sr Databricks Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Deloitte

Sr Databricks Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Prophecy Technologies

Data Engineer - Databricks

Seattle, WA · On-site

$130.30K - $156.50K/yr

Seattle, WA Experience: • 7+ years of experience in Data Engineering or related roles • Strong hands-on experience with Databricks Cloud Data Platform • Proven experience working in cloud ...

Sono Bello

Data Engineer

Bellevue, WA · Hybrid

$125K - $140K/yr

Use Databricks Workflows or similar orchestration tools to schedule jobs, manage dependencies, and implement data quality checks * Optimize data models for analytics, reporting, and machine-learning ...

Sono Bello

Data Engineer

Bellevue, WA · On-site

$125K - $140K/yr

SUMMARY The Data Engineer owns the end-to-end data platform, building high-scale pipelines ... Use Databricks Workflows or similar orchestration tools to schedule jobs, manage dependencies, and ...

Sono Bello

Data Engineer

Bellevue, WA · Hybrid

$125K - $140K/yr

SUMMARY The Data Engineer owns the end-to-end data platform, building high-scale pipelines ... Use Databricks Workflows or similar orchestration tools to schedule jobs, manage dependencies, and ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Contract to Hire * Design build and maintain robust scalable and efficient data pipelines using ... Data Factory Databricks and Apache Spark * Develop and optimize ETLELT workflows to ingest ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128.20K - $154K/yr

Contract * Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark ... Databricks. * Work with large-scale data lake and data warehouse solutions using Azure Synapse ...

Databricks

Senior Software Engineer - Money Team

Bellevue, WA · On-site

$137.50K - $181.30K/yr

Databricks is a data and AI company that builds and runs the world's best data and AI infrastructure platform. The Senior Software Engineer on the Money team will be involved in the entire billing ...

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$50.1K

$145.9K

$199.7K

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

As of May 31, 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 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 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 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:
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Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in Renton, WA as of May 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 94% Full Time, 2% Temporary, 1% Contract, and 1% Nights. Highlights an 33% Physical, and 67% Hybrid job distribution, with an average salary of $145,908 per year, or $70.1 per hour.

Databricks Data Engineer

Purple Drive Technologies

Seattle, WA • On-site

$130.30K - $156.50K/yr

Contractor

Posted 12 days ago

Job description

Overview:
POSITION SUMMARY
We are seeking an experienced Data Engineer specializing in Databricks platform for a 6-month contract position based in Seattle, WA. This role focuses on designing, building, and deploying robust data pipelines and ETL processes within a cloud data platform environment. The ideal candidate will have strong expertise in Databricks, data modeling, and cross-functional collaboration to support enterprise data governance initiatives.
RESPONSIBILITIES
DATA PIPELINE DEVELOPMENT
  • Design, build, and deploy data extraction, transformation, and loading (ETL) processes and pipelines
  • Extract data from various sources including databases, APIs, and data files
  • Develop and maintain scalable data pipelines within Databricks Cloud Data Platform
  • Ensure data quality, reliability, and performance across all pipeline processes
  • Implement data validation and monitoring mechanisms
DATABRICKS PLATFORM MANAGEMENT
  • Build comprehensive data models that reflect domain expertise and meet current business needs
  • Ensure data models remain flexible and adaptable as business strategy evolves
  • Monitor and optimize Databricks cluster performance for cost-effective scaling and resource utilization
  • Implement and maintain Delta Lake for optimized data storage, ensuring data reliability, performance, and versioning
  • Leverage Databricks Unity Catalog for data governance and collaboration
DEVOPS & AUTOMATION
  • Automate CI/CD pipelines for data workflows using Azure DevOps
  • Implement version control and deployment strategies for data pipelines
  • Ensure automated testing and quality assurance for data processes
  • Maintain infrastructure as code practices for data platform components
DATA ARCHITECTURE & STORAGE
  • Demonstrate expertise in database storage concepts including data lakes, relational databases, NoSQL, Graph databases, and data warehousing
  • Design and implement efficient data storage solutions
  • Optimize data access patterns and query performance
  • Ensure proper data partitioning and indexing strategies
COLLABORATION & COMMUNICATION
  • Collaborate with cross-functional teams to support data governance initiatives
  • Communicate technical concepts effectively to both technical and non-technical audiences
  • Work with business stakeholders to understand data requirements
  • Provide documentation and knowledge transfer for data solutions
QUALIFICATIONS
REQUIRED EXPERIENCE
  • 5+ years of experience in data engineering and ETL development
  • 3+ years of hands-on experience with Databricks platform
  • Strong experience with cloud data platforms (Azure, AWS, or GCP)
  • Proven track record in building and maintaining data pipelines at scale
TECHNICAL SKILLS
  • Databricks Expertise:
    • Databricks workspace and cluster management
    • Delta Lake implementation and optimization
    • Databricks Unity Catalog
    • Spark and PySpark programming
  • Programming & Development:
    • Strong coding skills in Python, Scala, or SQL
    • Experience with data transformation and data quality frameworks
    • Knowledge of data integration patterns and best practices
  • Database & Storage:
    • Data lake architecture and design
    • Relational databases (SQL Server, PostgreSQL, etc.)
    • NoSQL databases (MongoDB, Cassandra, etc.)
    • Graph databases and data warehousing concepts
  • DevOps & Automation:
    • Azure DevOps or similar CI/CD tools
    • Infrastructure as Code (Terraform, ARM templates)
    • Git version control and branching strategies
SOFT SKILLS
  • Strong analytical and problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to explain complex technical concepts to diverse audiences
  • Collaborative mindset for cross-functional team environments
  • Detail-oriented with focus on data quality and reliability
PREFERRED QUALIFICATIONS
  • Databricks certification (Data Engineer Associate/Professional)
  • Experience with real-time data processing and streaming
  • Knowledge of data governance frameworks and best practices
  • Experience with data visualization tools (Power BI, Tableau)
  • Background in Agile/Scrum development methodologies

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