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Azure Databricks Jobs in Seattle, WA (NOW HIRING)

HMG America

Azure Databricks Architect

Seattle, WA · On-site

$72.25 - $94.25/hr

Azure Databricks Architect Location: Seattle, WA (Hybrid 3 Days Onsite) Duration: Full-Time Job Summary We are seeking an experienced Azure Databricks Architect to lead the design, implementation ...

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 ...

ClifyX

Azure Platform Engineer

Seattle, WA · On-site

$62.50 - $77.75/hr

... Azure Databricks, Azure Data Factory , ADLS Gen2, and other Azure services. Qualifications : Required : • Create Azure platform engineering/automation using Powershell and ARM templates. • ...

Georgia IT, Inc.

Azure Data Engineer

Redmond, WA · On-site

$61.50 - $76.50/hr

... Databricks, Azure Stream Analytics, and Azure Purview. • Ability to Design, configure and maintain Semantic Model settings in the Fabric workspace • Expertise in maintaining LakeHouse in ...

Cognizant

Azure Technical Lead

Seattle, WA · On-site

$120 - $135/hr

Develop reusable and optimized data pipelines on Azure Databricks that support batch and near real time processing while maintaining high standards of reliability and observability * Coordinate with ...

New

Syntricate Technologies

Azure Data Engineer__ITAR

Seattle, WA · On-site

$62.50 - $77.75/hr

... Databricks. • Strong working knowledge on Azure components and services such as Storage Account, Azure Data Factory, Active Directory, Synapse, Key Vault, VMSS, Function apps, web apps, Log ...

Globenet Consulting Corp

Lead Data Engineer

Lynnwood, WA · On-site

$45 - $55/hr

Training & development Lead Data Engineer - Azure Databricks Location: Charlotte, North Carolina 28273 Work Arrangement: Onsite, 5 days per week Let's Create Our Future Together at The AES Group The ...

LHH US

Senior Databricks AI/ML Engineer

Seattle, WA · Remote

$150K - $183K/yr

Design and develop AI-driven applications leveraging Azure OpenAI services and Databricks . * Implement RAG-based solutions and integrate existing models into enterprise workflows. * Translate ...

LHH US

Senior Databricks AI/ML Engineer

Seattle, WA · Remote

$150K - $183K/yr

Design and develop AI-driven applications leveraging Azure OpenAI services and Databricks . * Implement RAG-based solutions and integrate existing models into enterprise workflows. * Translate ...

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 ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Seattle, WA

Azure Databricks information

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$12

$66

$90

How much do azure databricks jobs pay per hour?

As of Aug 31, 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.

What is an Azure Databricks?

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 does an Azure Databricks do?

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 the key skills and qualifications needed for an Azure Databricks?

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 Azure Databricks in high demand?

Azure Databricks professionals are in high demand due to the increasing adoption of cloud-based data analytics and machine learning solutions. Skills in Spark, Python, and cloud environments enhance job prospects, with many organizations seeking expertise in managing large-scale data workflows on Azure. The role often requires familiarity with data engineering, data science, and cloud certifications.

Is Azure Databricks difficult to learn?

Azure Databricks is a cloud-based data analytics platform that combines Apache Spark with Azure services, and learning it involves understanding Spark concepts, data engineering, and cloud environment management. While it has a learning curve for beginners, familiarity with programming languages like Python or Scala and basic data processing skills can facilitate the learning process.

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 the salary of an Azure Databricks engineer?

The salary of an Azure Databricks engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and certifications. Professionals with strong skills in Spark, cloud computing, and data engineering can expect higher compensation. Salaries may also vary based on company size and industry demand.

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

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Seattle, WA as of August 2026, with employment types broken down into 53% Full Time, and 47% Contract. Highlights an 100% In-person job distribution, with an average salary of $138,243 per year, or $66.5 per hour.

Azure Databricks Architect

HMG America

Seattle, WA • On-site

$72.25 - $94.25/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Azure Databricks Architect

Location: Seattle, WA (Hybrid 3 Days Onsite)
Duration:Full-Time

Job Summary

We are seeking an experienced Azure Databricks Architect to lead the design, implementation, and optimization of enterprise-scale data platforms on Azure. The ideal candidate will have deep expertise in Azure Databricks, Spark, Delta Lake, and modern Lakehouse architecture, with strong experience designing secure, scalable, and high-performance data solutions. Knowledge of Unity Catalog, Medallion Architecture, and Infrastructure as Code is highly preferred. These are all considered current best practices for enterprise Azure Databricks environments.

Required Skills

  • 12+ years of IT experience with 5+ years as a Data/Cloud Architect.
  • Strong hands-on experience with Azure Databricks.
  • Expertise in PySpark, Spark SQL, Python, and SQL.
  • Strong knowledge of Delta Lake, Lakehouse Architecture, and Medallion (Bronze/Silver/Gold) Architecture.
  • Experience with Unity Catalog, data governance, RBAC, and data lineage.
  • Experience designing scalable ETL/ELT pipelines.
  • Hands-on experience with Azure Data Factory (ADF).
  • Strong experience with Azure Data Lake Storage (ADLS Gen2).
  • Experience with Azure Synapse Analytics or Microsoft Fabric is a plus.
  • Experience with CI/CD using Azure DevOps, Git, and Infrastructure as Code (Terraform/Bicep/ARM).
  • Strong understanding of performance tuning, cluster optimization, partitioning, caching, and cost optimization.
  • Experience implementing data quality, monitoring, logging, and observability.
  • Knowledge of streaming technologies (Structured Streaming/Event Hubs/Kafka) is preferred.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Design and architect enterprise-scale Azure Lakehouse solutions.
  • Define end-to-end data architecture, ingestion, transformation, and serving layers.
  • Lead Azure Databricks implementation using best practices.
  • Design secure data governance using Unity Catalog and role-based access controls.
  • Optimize Spark workloads for performance and cost.
  • Implement reusable frameworks, coding standards, and CI/CD pipelines.
  • Work closely with business, engineering, and cloud infrastructure teams.
  • Provide architectural guidance, code reviews, and technical leadership.
  • Ensure scalability, reliability, security, and disaster recovery across the platform.

Nice to Have

  • Databricks Certified Professional/Architect certification.
  • Azure Solutions Architect or Azure Data Engineer certification.
  • Experience with MLflow, MLOps, or AI/GenAI workloads on Databricks.
  • Experience with Power BI integration.

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