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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 ...

Tata Consultancy Services

Azure Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

Required : • 4 - 6 Years of experience • Microsoft Azure • PL/SQL • Azure Databricks • Fabric • Microsoft Power BI • Microsoft Power Platform • Cosmos • PySpark • Python • ...

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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 Jul 14, 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 popular platform for data engineering, analytics, and machine learning, and professionals with skills in Spark, Python, and cloud environments are increasingly sought after. As organizations adopt cloud-based data solutions, demand for roles involving Azure Databricks continues to grow across industries.

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.

Is Databricks a high paying job?

Azure Databricks professionals, such as data engineers and data scientists, typically earn above-average salaries due to their specialized skills in cloud platforms, big data processing, and machine learning. Compensation varies based on experience, location, and certifications, but these roles are generally well-paid within the tech industry.

What is a job in Azure Databricks?

A job in Azure Databricks refers to an automated task or set of tasks that run on the platform, such as data processing, machine learning model training, or data pipeline execution. These jobs are scheduled and managed through the Azure Databricks workspace, often requiring knowledge of Spark, Python, Scala, or SQL. They enable users to automate workflows and handle large-scale data analytics efficiently.

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 is the salary of Azure Databricks developer?

The salary of an Azure Databricks developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Skilled professionals with expertise in Spark, Python, and cloud environments tend to earn higher salaries.

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.

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:
What are popular job titles related to Azure Databricks jobs in Seattle, WA? For Azure Databricks jobs in Seattle, WA, the most frequently searched job titles are:
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Azure Databricks jobs near you
Azure Databricks Architect / SME

Azure Databricks Architect / SME

Goli Tech

Bellevue, WA • On-site

$71.75 - $93.50/hr

Contractor

Re-posted 3 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