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Entry Level Databricks Data Engineer Jobs in Bellevue, WA

Azure Data Engineer

Redmond, WA · On-site

$61.50 - $76.50/hr

... Databricks, Azure Stream Analytics, and Azure Purview. • Ability to Design, configure and ... DevOps practices and tools for data platform development and deployment, such as Azure DevOps, ...

P-1299 Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We're doing it cross-cloud with a unified platform, currently serving ...

Customer Enablement Specialist

Bellevue, WA · On-site

$86.60 - $119.15/hr

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 ...

Data & AI Platform Engineer

Bellevue, WA · On-site

$129K - $155K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Data Platform Engineer

Seattle, WA · On-site

$200K - $250K/yr

As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in ... Databricks, Fivetran, or Tableau. * Effective Communication : Strong verbal and written ...

Showing results 21-40

Entry Level Databricks Data Engineer information

See Bellevue, WA salary details

$33.9K

$78.3K

$133.2K

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

As of Sep 4, 2026, the average yearly pay for entry level databricks data engineer in Bellevue, WA is $78,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $88,600.00 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?

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 Bellevue, WA?

The most popular types of Databricks Data Engineer jobs in Bellevue, WA are:

What are popular job titles related to Entry Level Databricks Data Engineer jobs in Bellevue, WA?

For Entry Level Databricks Data Engineer jobs in Bellevue, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks Data Engineer jobs in Bellevue, WA look for?

The top searched job categories for Entry Level Databricks Data Engineer jobs in Bellevue, WA are:

What cities near Bellevue, WA are hiring for Entry Level Databricks Data Engineer jobs?

Cities near Bellevue, WA with the most Entry Level Databricks Data Engineer job openings:

Staff Frontend Engineer - UI Platform - Seattle

Databricks Inc.

Seattle, WA • On-site

$181 - $261/hr

Other

Medical, Dental, Vision, Retirement

Posted 28 days ago


Job description

Seattle, Washington

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 use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Staff Frontend Engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You\'ll set the foundation for how we build robust, scalable and delightful products.

Below are some example experiences you\'ll create for our customers to achieve the full project lifecycle from loading data, visualizing results, creating statistical models, and deploying as production artifacts.

  • Design and ship reusable UI primitives and component patterns that behave consistently across consoles, enabling a write‑once, run‑anywhere model.
  • Define application bootstrapping and cross‑surface navigation primitives that abstract console boundaries while enforcing correct AuthZ and routing.
  • Deliver unified frontend data clients and service components.
  • Create, deploy, test, and upgrade platform components that power complex frontend data exploration and visualization experiences.
  • Provide reference patterns, templates, and tests that standardize portability, reduce rework, and accelerate delivery of cross-surface features.
  • Partner with feature teams to land single‑console experiences and migrations on the platform (from pilot pages to scaled adoption).

What we look for:

  • Experience leading large multi-quarter efforts with a demonstrated customer or business impact
  • Passion for user experience and design and an understanding of front-end architecture
  • Comfortable working towards a multi-year vision with incremental deliverables
  • Motivated by delivering customer value
  • Familiarity with server-side web technologies is a plus
  • Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security and usability
  • Comprehensive health coverage including medical, dental, and vision
  • 401(k) Plan
  • Equity awards
  • Flexible time off
  • Paid parental leave
  • Family Planning
  • Gym reimbursement
  • Employee Assistance Program (EAP)
  • Mental wellness resources

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

$181,000 — $261,000 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 .

Benefits

At 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.

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