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Day Azure Databricks Jobs in Seattle, WA (NOW HIRING)

... from day one. HOW YOU'LL SUCCEED: This is not a greenfield position; you'll be joining an ... Azure and/or Databricks experience is a meaningful plus, especially when in context of supporting ...

Software Engineer

Redmond, WA · On-site

$133K - $219K/yr

... Databricks, Azure Data Factory, or similar platforms * Experience with LLMs and Azure AI stack ... This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis ...

Each day we build on our values of respect, integrity, and accountability to create a culture of ... Databricks, Snowflake). * Exposure to ML development platforms such as Azure Machine Learning ...

Senior Data Modeler

Lynnwood, WA · On-site

$50 - $55/hr

Morristown, NJ (Hybrid -- 3 days/week onsite) We're looking for a Senior Data Modeler (7+ years) to ... such as Databricks, Snowflake, BigQuery, Redshift, and Azure Synapse. * Deep knowledge of ...

Senior Data Modeler

Bellevue, WA · On-site

$100 - $125/hr

Morristown, NJ (Hybrid -- 3 days/week onsite) We're looking for a Senior Data Modeler (7+ years) to ... such as Databricks, Snowflake, BigQuery, Redshift, and Azure Synapse. * Deep knowledge of ...

Showing results 41-60

Day Azure Databricks information

See Seattle, WA salary details

$12

$66

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How much do day azure databricks jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for day azure databricks in Seattle, WA is $66.46, according to ZipRecruiter salary data. Most workers in this role earn between $60.19 and $74.66 per hour, depending on experience, location, and employer.

What is the difference between Day Azure Databricks vs Data Engineer?

AspectDay Azure DatabricksData Engineer
Primary FocusDeveloping and managing data workflows using Azure Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsAzure certifications, Spark, SQL, Python, data analyticsSQL, ETL tools, cloud platforms, programming languages like Python or Java
Work EnvironmentCloud-based, collaborative data platform within Azure ecosystemVaries; cloud, on-premises, or hybrid environments

Day Azure Databricks specialists focus on leveraging the Azure platform for data processing, while Data Engineers build and maintain the data infrastructure across various environments. Both roles require strong technical skills, but their scope and tools differ, with Day Azure Databricks centered on the Databricks platform and Data Engineers on broader data pipeline development.

What are the most commonly searched types of Azure Databricks jobs in Seattle, WA?

The most popular types of Azure Databricks jobs in Seattle, WA are:

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For Day Azure Databricks jobs in Seattle, WA, the most frequently searched job titles are:

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The top searched job categories for Day Azure Databricks jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Day Azure Databricks jobs?

Cities near Seattle, WA with the most Day Azure Databricks job openings:

Infographic showing various Day Azure Databricks job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 27% Part Time, and 5% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $138,243 per year, or $66.5 per hour.

Senior Cloud Data Engineer

International Community Health Services

Seattle, WA • On-site

$116K - $171K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 4 days ago


Job description

Join the ICHS Team!

Discover how you can make a difference in people’s lives and help strengthen communities.


International Community Health Services (ICHS) is a nationally recognized community health center. For over 50 years, we have provided medical, dental, and wellness care to individuals and families from all regions and all walks of life many of whom face significant barriers to receiving the care they need. We believe that quality health care supports stronger families, healthier communities, and a more just society.


At ICHS, we are proud of our team-based approach and the shared commitment that drives our work. We value respect, collaboration, and compassion in everything we do. When you join ICHS, you become part of a mission-driven team that believes everyone deserves the opportunity to thrive.


We offer

  • Competitive salary for the Seattle/Puget Sound region
  • “Share the success” bonuses
  • Insurance premiums 100% paid by ICHS
  • Paid time off accrual up to 200 hours annually with up to 320 hours rollover year to year
  • Automatic 4% retirement contribution
  • 9 paid holidays a year, including 2 personal holidays
  • Reimbursement for professional licensure


Job Summary

The Senior Cloud Data Engineer serves as the technical lead responsible for the architecture, development, governance, integration, and operational support of ICHS's enterprise data platform. This role provides expertise in modern cloud data engineering, data warehousing, data modeling, healthcare analytics, and enterprise integrations, with a primary focus on Epic Electronic Medical Record (EMR) data delivered through Clarity and Caboodle.


The Senior Cloud Data Engineer leads the design and implementation of scalable, secure, and HIPAAcompliant data solutions utilizing Microsoft Fabric, Azure, SQL Server, and related cloud technologies. The position serves as a senior technical advisor within the Data & Analytics team and works closely with clinical, operational, financial, and executive stakeholders to develop trusted data products, enterprise reporting solutions, and analytics capabilities that support ICHS's strategic initiatives.

This role combines hands-on engineering responsibilities with technical leadership, mentoring, architectural oversight, and enterprise data strategy.

Education 


Bachelor's degree in Computer Science, Data Engineering, Health Informatics, Information Systems, Software Engineering, or related field. Equivalent combination of education and relevant professional experience may substitute for degree requirements.

Experience


  • Five (5) years of progressively responsible experience in Data Engineering, Cloud Data Engineering, Data Warehousing, or Analytics Engineering.

  • Demonstrated experience architecting and building enterprise-scale cloud data platforms.

  • Advanced SQL development experience, including stored procedures, performance tuning, optimization, and database design.

  • Experience building ETL/ELT solutions using Microsoft Fabric, Azure Data Factory, Spark, or equivalent modern cloud technologies.

  • Experience designing dimensional models, star schemas, medallion architectures, semantic models, and enterprise reporting solutions.

  • Experience developing and maintaining CI/CD pipelines, source control processes, and automated deployment methodologies.

  • Experience with Microsoft Fabric, Azure Synapse, Azure Data Lake, OneLake, Data Pipelines, Lakehouse, and Warehouse architectures preferred.

  • Experience with SQL Server administration, performance optimization, indexing strategies, backup/recovery processes, and security administration preferred.

  • Experience with Snowflake, Databricks, or other cloud data warehouse technologies.

Other Requirement(s) 
  • Epic Clarity, Cogito, and Caboodle proficiency, accreditation, certification, or ability to obtain certification within six (6) months of hire is required. 
  • Microsoft Fabric Certification, Azure Data Engineer Associate, Snowflake SnowPro Certification, and/or Power BI Certification are preferred.
  • This position requires to be in office located in Seattle, WA at least 4 days per week.