ZipRecruiter

Log In

2

Entry Level Databricks Data Engineer Jobs in Seattle, WA

SEI

Data and Analytics Consultant

Seattle, WA · On-site

Must have experience in architecting and implementing data architecture, data engineering ... Databricks or similar technologies. Advanced Analytics and Data Visualizations * Extensive ...

Accord Technologies Inc.

The Ops / KT Engineer

Seattle, WA · On-site

$128K/yr

... data engineering, DevOps, monitoring, or cloud platform support * Experience preparing KT plans, training content, and transition documents * Familiarity with CloudWatch, Grafana, Airflow, Databricks ...

Futran Tech Solutions Pvt. Ltd.

AIML Engineer

Bellevue, WA · On-site

$92K - $123K/yr

Proficiency in Python, ML Ops, typical data processing tools, pipelines. * Experience building ... Experience with Snowflake, Databricks, Spark and Spark ML. * Experience in evaluating the AI ML ...

Nastech Global

AWS Cloud Engineer

Seattle, WA · On-site

$63.50 - $84.75/hr

AWS Cloud Engineer Location: Seattle, WA/St. Louis, MO/Plano, TX/Dallas, TX/Houston, TX (onsite ... Data Pipeline Development: Design, develop, and optimize ETL/ELT pipelines using AWS & Databricks ...

Merican

Lead I - Software Engineering

Bellevue, WA · On-site

... Azure Data Factory, Databricks-PySpark, and Azure SQL Database and Databricks unity catalogue ... Programming Languages: * Proficiency in Python and PySpark for data transformation, pipeline ...

Merican

Lead II - Software Engineering

Bellevue, WA · On-site

... Azure Data Factory, Databricks-PySpark, and Azure SQL Database and Databricks unity catalogue ... Programming Languages: * Proficiency in Python and PySpark for data transformation, pipeline ...

Merican

Lead II - Software Engineering

Bellevue, WA · On-site

... Azure Data Factory, Databricks-PySpark, and Azure SQL Database and Databricks unity catalogue ... Programming Languages: * Proficiency in Python and PySpark for data transformation, pipeline ...

F5, Inc.

AI Sales Intelligence Analyst

Seattle, WA · On-site

This role sits at the intersection of data engineering, applied AI, and sales operations - and ... Build and maintain data pipelines in Snowflake, Databricks, and BigQuery that feed agent tools ...

Casne Engineering, Inc.

Be Seen First

Electrical Engineer - Entry Level

Bellevue, WA · On-site

$75K - $85K/yr

Casne Engineering is seeking an energetic, self-starting individual to provide electrical design ... Data, Networking and Communication Systems • Fire Alarm, Security and Other Auxiliary Systems • ...

Revefi

Backend Engineer - Seattle

Seattle, WA · On-site

Experience with cloud data warehouses: Snowflake, BigQuery, Databricks, Redshift * Hands-on with ... Exposure to building SaaS platforms or developer infrastructure * Open-source contributions or ...

Revefi

Backend Engineer - Seattle

Seattle, WA

Experience with cloud data warehouses: Snowflake, BigQuery, Databricks, Redshift * Hands-on with ... Exposure to building SaaS platforms or developer infrastructure * Open-source contributions or ...

The Walt Disney Company

Software Engineer II

Seattle, WA

$111K - $151K/yr

Familiarity with data platforms and databases such as Databricks, Snowflake, MySQL, or PostgreSQL. * Experience working in large-scale engineering environments. * Exposure to distributed systems or ...

next page

Showing results 1-20

All JobsDatabricks Data Engineer JobsEntry Level Databricks Data Engineer JobsEntry Level Databricks Data Engineer Jobs in Seattle, WA

Entry Level Databricks Data Engineer information

See Seattle, WA salary details

$34.1K

$78.9K

$134.3K

How much do entry level databricks data engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level databricks data engineer in Seattle, WA is $78,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $89,300.00 per year, depending on experience, location, and employer.

What is an Entry Level Databricks Data Engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an Entry Level Databricks Data Engineer, and why are they important?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry-level Databricks Data Engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.
What are the most commonly searched types of Databricks Data Engineer jobs in Seattle, WA? The most popular types of Databricks Data Engineer jobs in Seattle, WA are:
What are popular job titles related to Entry Level Databricks Data Engineer jobs in Seattle, WA? For Entry Level Databricks Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Databricks Data Engineer jobs in Seattle, WA look for? The top searched job categories for Entry Level Databricks Data Engineer jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Entry Level Databricks Data Engineer jobs? Cities near Seattle, WA with the most Entry Level Databricks Data Engineer job openings:
Entry Level Databricks Data Engineer jobs near you
.Net Azure Developer with Databricks

.Net Azure Developer with Databricks

Staffingine LLC

Seattle, WA • On-site

$62.50 - $77.75/hr

Contractor

Posted 3 hours ago

Job description

Job Title: .Net Azure Developer with Databricks 
Job Location: Seattle, WA (Preferred) / Remote 

Job Type: Contract 

Job Description:  

  • Lead the design and development of scalable, secure, and high-performance applications using .NET Core, C# and Azure. 

  • Architect and implement Microservices and Backend-for-Frontend (BFF) layers. 

  • Design and implement RESTful APIs with full CRUD operations using appropriate HTTP verbs (GET, POST, PUT, PATCH, DELETE). 

  • Implement Singleton, Factory, Builder, and other design patterns where applicable. 

  • Configure and manage Azure Event Hub, Azure Functions (Timer Trigger), and Azure Key Vault for secure and event-driven architectures. 

  • Use Dependency Injection and Interfaces to build loosely coupled and testable components. 

  • Implement logging frameworks to log data into DB, Firehose, or text files. 

  • Design and optimize SQL Server databases using indexes (clustered/non-clustered), normalization/denormalization, and Cosmos DB partitioning. 

  • Guide the team in containerizing applications using Docker and deploying to Kubernetes (AKS). 

  • Monitor and scale applications based on Kubernetes metrics and auto-scaling policies. 

  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions. 

  • Appian: Strong experience in building applications. 

Good to have 

  • Hands on experience working on AHDS and FHIR format conversion etc. 

  • Work with Azure DevOps to manage CI/CD pipelines, release management, and environment configurations.