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

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 ...

Data Engineering Manager

Seattle, WA · On-site

$150K - $160K/yr

Seattle, WA - 3 days onsite Duration: Direct Hire Compensation: $150K-$160K Work Requirements: US ... Experience with Azure Databricks, Delta Lake, Apache Spark, or similar distributed data processing ...

Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global ... The result: report load times dropped by 80%, refresh cycles shrank from 10 days to minutes, and ...

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Day Azure Databricks information

See Seattle, WA salary details

$12

$66

$90

How much do day azure databricks jobs pay per hour?

As of Jul 29, 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:
What are popular job titles related to Day Azure Databricks jobs in Seattle, WA? For Day Azure Databricks jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Day Azure Databricks jobs in Seattle, WA look for? 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 July 2026, with employment types broken down into 6% Locum Tenens, 83% Full Time, 4% Part Time, 6% Contract, and 1% Summer. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $138,243 per year, or $66.5 per hour.

Lead Data Engineer

Globenet Consulting Corp

Lynnwood, WA • On-site

$45 - $55/hr

Full-time

Posted 8 days ago


Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • 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 AES Group is a technology and engineering consulting company with more than 20 years of experience connecting organizations with skilled professionals and innovative solutions across cloud, data, AI, and engineering.

Why Join This Opportunity?

  • Lead high-impact enterprise data engineering initiatives
  • Mentor and guide a growing team of data engineers
  • Work with modern Azure Databricks and cloud data technologies
  • Support large-scale data modernization and legacy migration programs
  • Collaborate with technical leaders and business stakeholders
  • Gain exposure to Power BI, MicroStrategy, Delta Lake, Azure DevOps, and data governance frameworks
Position Overview
The AES Group Inc. is seeking an experienced Lead Data Engineer to support one of our enterprise clients. This role will lead the design, development, and optimization of scalable cloud data platforms while establishing engineering standards and mentoring team members.
The ideal candidate will have recent hands-on experience with Azure Databricks, Python, PySpark, SQL, ETL/ELT development, and modern data warehouse architecture.

Key Responsibilities

  • Design and optimize scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake.
  • Provide technical leadership, mentoring, and guidance to data engineers.
  • Improve CI/CD pipelines using Azure DevOps, Git, Terraform, and automated deployment frameworks.
  • Establish standards for development, testing, code quality, and release management.
  • Ensure data accuracy through integration, transformation, validation, and cleansing processes.
  • Use Python and PySpark for automation, data processing, and performance optimization.
  • Support migrations from legacy environments to modern cloud data platforms.
  • Translate business and technical requirements into scalable data solutions.
  • Apply governance and security practices using Unity Catalog, Azure RBAC, managed identities, and access controls.
  • Support Power BI reporting environments and provide exposure to MicroStrategy.
  • Participate in on-call support and resolve production issues when required.
Required Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Information Technology, or a related field, or equivalent experience.
  • At least 3 years of hands-on Azure Databricks experience.
  • Strong knowledge of current Azure Databricks features and capabilities.
  • At least 5 years of data warehouse analysis, architecture, and design experience.
  • Strong knowledge of dimensional modeling, operational data stores, and enterprise integration.
  • At least 5 years of ETL/ELT development using Python, PySpark, and SQL.
  • Experience with Terraform, Git, CI/CD pipelines, and Azure DevOps.
  • Demonstrated experience leading and mentoring data engineering teams.
  • Strong communication, problem-solving, and stakeholder-management skills.
Preferred Qualifications
  • Databricks Data Engineer Associate or Professional certification.
  • Experience with Unity Catalog, Azure RBAC, managed identities, and data governance.
  • Familiarity with Power BI and MicroStrategy architecture.
  • Experience in regulated, quality-focused, or compliance-driven environments.
Ready to make an impact? Apply now and join us on our journey!