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Entry Level Databricks Data Engineer Jobs in Seattle, WA

Databricks

Customer Enablement Specialist

Bellevue, WA · On-site

Databricks certifications or willingness to certify (Data Engineer Associate, Databricks certifications (or willingness to obtain within 6 months). * Background in SaaS, cloud, or data platforms ...

Databricks

Systems PhD - Software Engineer

Seattle, WA · On-site

$196K - $233K/yr

Databricks is a leading data and AI company that simplifies the data lifecycle for over 10,000 customers. They are seeking a Systems PhD - Software Engineer to design and implement advanced systems ...

MAQ Software

Software Data Operations Engineer

Redmond, WA · On-site

$85K - $120K/yr

Software Data Operations Engineer Redmond, Washington About MAQ Software MAQ Software enables ... Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global ...

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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 15, 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:
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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
Databricks Engineer

Databricks Engineer

PROLIM Global Corporation

Seattle, WA • On-site

Full-time

Posted 3 days ago

New

Job description

Job Titel: Databrick Engineer
Location: Seattle, WA
Duration: 6 months
Job ID: 10492558
Role Description
• Design and implement data pipelines in Azure Databricks for ingesting and transforming data from upstream systems, including SAP, PIPS, POS into WFM and UKG
• Optimize ETL/ELT workflows for performance and scalability
• Collaborate with Java/API developers to integrate event-driven triggers into data pipelines
• Implement data quality checks, schema validation, and error handling
• Support batch and near-real-time data flows for both operational and analytics use cases
• Work with Boomi and WFM teams to ensure data contracts and canonical models are enforced
Essential Skills
• Design and implement data pipelines in Azure Databricks for ingesting and transforming data from upstream systems, including SAP, PIPS, POS into WFM and UKG
• Optimize ETL/ELT workflows for performance and scalability
• Collaborate with Java/API developers to integrate event-driven triggers into data pipelines
• Implement data quality checks, schema validation, and error handling
• Support batch and near-real-time data flows for operational and analytics use cases
• Work with Boomi and WFM teams to ensure data contracts and canonical models are enforced
Desirable Skills
• Digital : Databricks
Experience Required
8-10

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