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Azure Databricks Jobs in Seattle, WA (NOW HIRING)

Goli Tech

Azure Databricks Architect / SME

Bellevue, WA · On-site

$71.75 - $93.50/hr

Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems * Provide technical leadership and mentorship to the data engineering ...

PEMCO

Databricks Architect

Seattle, WA · On-site

Own the Azure Databricks landing zone architecture: subscription and resource group strategy, workspace hierarchy, VNet injection, Private Link/endpoints, firewall rules, and cross region DR/BCP ...

The AES Group

Senior DevOps Engineer

Seattle, WA · Remote

$133K - $170K/yr

This is an exciting opportunity for a highly skilled DevOps professional with expertise in Terraform, Kubernetes, Python automation, and Azure cloud technologies, including Azure Databricks, to build ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark, and Databricks. * Work with large-scale data lake and data warehouse solutions using Azure Synapse Analytics ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

RDQ427R130 At Databricks, we are passionate about enabling data teams to solve the world's toughest ... You will define how Repos integrates with GitHub, GitLab, and Azure DevOps to support branching ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Seattle, WA

Azure Databricks information

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How much do azure databricks jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for 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.

Is Azure Databricks in demand?

Azure Databricks is a highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

What does a typical day look like for someone working in an Azure Databricks role?

A typical day for an Azure Databricks professional involves designing, developing, and maintaining data pipelines, collaborating with data scientists and business analysts to transform raw data into actionable insights. You may spend time configuring Spark clusters, optimizing query performance, ensuring data security, and troubleshooting data workflow issues. Regular meetings with stakeholders and team members are common to align on project requirements and report progress. This role often offers a mix of independent technical work and team collaboration, making it both dynamic and engaging.

What are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

What is an Azure Databricks job?

An Azure Databricks job is a way to run a notebook, JAR, Python script, or other workload in an automated or scheduled manner on an Azure Databricks cluster. Jobs allow users to orchestrate data processing, machine learning tasks, or ETL workflows efficiently. They can be triggered manually, on a schedule, or in response to events, enabling streamlined data pipeline management. Jobs also support multi-task workflows, allowing dependencies between different tasks.

What are the key skills and qualifications needed to thrive in the Azure Databricks position, and why are they important?

To thrive as an Azure Databricks professional, you need expertise in big data analytics, data engineering, and proficiency with SQL, Python, and Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with the Azure cloud ecosystem, Databricks platform tools, and advantageous certifications like Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate technical concepts clearly help set you apart in this role. These abilities are crucial for designing and optimizing scalable data solutions and effectively working within cross-functional data teams.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
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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Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Seattle, WA as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $138,243 per year, or $66.5 per hour.
Azure Databricks Architect / SME

Azure Databricks Architect / SME

Goli Tech

Bellevue, WA • On-site

$71.75 - $93.50/hr

Contractor

Posted 11 days ago

Job description

Job description

Responsibilities

  • Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL
  • Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions
  • Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices
  • Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools
  • Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems
  • Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement
  • Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards
  • Ensure best practices are followed in terms of code quality data security and scalability
  • Stay updated with the latest developments in Databricks and associated technologies to drive innovation

Essential Skills

  • Strong experience with Azure Databricks including cluster management notebook development and Delta Lake
  • Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark
  • Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory
  • Experience with ETLELT processes data warehousing and building data lakes
  • Strong SQL skills and familiarity with NoSQL databases
  • Experience with CICD pipelines and version control systems like Git
  • Knowledge of cloud security best practices

Soft Skills

  • Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
  • Strong problemsolving skills and a proactive approach to identifying and resolving issues
  • Leadership skills with the ability to manage and mentor a team of data engineers

Nice to have Skills

  • Power BI for dashboarding and reporting
  • Microsoft Fabric for analytics and integration tasks
  • Spark Streaming for processing realtime data streams
  • Familiarity with Azure Resource Manager ARM templates for infrastructure as code IaC practices

Experience

  • Demonstrated expertise of 8 years in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory
  • Solid understanding and handson experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2
  • Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation
  • Proficiency in building and optimizing query layers using Databricks SQL
  • Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for endtoend analytics solutions
  • Prior experience in developing optimizing and deploying Power BI reports
  • Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions

Skills

Mandatory Skills : Azure Cloud Architecture, Cloud Architecture, Cloud Solution Architecture, Enterprise Cloud Architecture

Required Skills : Azure

Basic Qualification :

Additional Skills :

This is a high PRIORITY requisition. This is a PROACTIVE requisition

Background Check : No

Drug Screen : No