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Trainee Databricks Data Engineer Jobs in Bothell, WA

Databricks Data Engineer

Seattle, WA · On-site

$130.40K - $156.60K/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 ...

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 ...

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 ...

Sr Databricks Data Engineer

Seattle, WA

$118.90K - $163.30K/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 ...

Databricks Data Engineer

Seattle, WA · On-site

$130.40K - $156.60K/yr

... data pipelines in Azure. • Hands-on experience with Azure Databricks: cluster management, job ... DevOps for CI/CD and source control workflows. • Strong analytical, problem-solving, and ...

Databricks Data Engineer

Seattle, WA · On-site

$130.40K - $156.60K/yr

Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark Build and ... junior engineers Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified ...

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 ...

Data Engineer - Databricks

Seattle, WA · On-site

$130.40K - $156.60K/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 ...

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 ...

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 ...

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 ...

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 ...

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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 May 28, 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.

What are popular job titles related to Trainee Databricks Data Engineer jobs in Bothell, WA? For Trainee Databricks Data Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Bothell, WA look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Trainee Databricks Data Engineer jobs? Cities near Bothell, WA with the most Trainee Databricks Data Engineer job openings:

Databricks Data Engineer

Purple Drive

Seattle, WA • On-site

$130.40K - $156.60K/yr

Other

This job post has expired today. Applications are no longer accepted.


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