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Entry Level Databricks Data Engineer Jobs in Bellevue, WA

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 ...

Adobe

Data Science Engineer

Seattle, WA

$130K - $156K/yr

Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ... Databricks,AWS, Snowflake) * Understanding of machine learning techniques, specifically involving ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

SynergisticIT

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

... for entry-level software programmers, Java Full stack developers, Python/Java developers, Data ... analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with ...

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 ...

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

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 Aug 8, 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:
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Entry Level Databricks Data Engineer jobs near you

Data Engineer - Snowflake, Databrick, DBT, ETL- W2 position - Independent consultant

Syncreon Consulting

Seattle, WA • On-site

$130K - $156K/yr

Contractor

Posted 29 days ago

Job description

Company Description

We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies.

Job Description

Requirements

1. Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).

2. Strong background in ETL/ELT pipeline development.

3. Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).

4. Solid SQL and Python skills; knowledge of data quality frameworks.

Responsibilities

1. Ingest and process data from Salesforce (Investments), Dynamics 365 & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education).

2. Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML.

3. Design simple, reusable data models to support training and inference.

4. Implement data quality tests, documentation, and lineage in DBT

5. Ensure performance optimization, cost efficiency, and compliance with governance standards.

6. Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets.

Regards,

Mohammed ilyas,

PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com

Additional Information

All your information will be kept confidential according to EEO guidelines.

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