ZipRecruiter

Log In

1

Azure Databricks Jobs (NOW HIRING)

Mindlance

Senior Azure Databricks Lead

Charlotte, NC · On-site

Proven hands-on experience with Azure Databricks, including designing, building, and optimizing complex data pipelines and Delta Lake solutions. * Strong background in Azure Data Lake Storage (ADLS ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Requirements · Strong Expertise in DATA Azure data lake Azure Databricks, Azure SQL, Power BI · Expertise to Implementing Data warehousing Solutions experience as Data Engineer in Azure Big Data ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

$95K - $130K/yr

Required : • Hands-on experience with Databricks ecosystem (Delta Lake, Unity Catalog, DLT, PySpark, SQL, Python) • Work with Azure Data Engineering stack (ADF, ADLS, Blob, Key Vault) and version ...

1 point system

Azure Databricks Developer

Louisville, KY · Remote

$56.25 - $69.75/hr

... in Databricks, Kafka, C# and API Familiarity with software development methodologies (Agile, Scrum, etc.) Applied AI techniques to improve processes and enhance productivity Understanding of ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions * CI/CD: GitHub, Jenkins, Azure DevOps, Terraform * BI Analytics Tool Stack - Cognos ...

next page

Showing results 1-20

All JobsAzure Databricks Jobs

Azure Databricks information

See salary details

$11

$58

$79

How much do azure databricks jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for azure databricks in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 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.

More about Azure Databricks jobs
What cities are hiring for Azure Databricks jobs? Cities with the most Azure Databricks job openings:
What are the most commonly searched types of Azure Databricks jobs? The most popular types of Azure Databricks jobs are:
What states have the most Azure Databricks jobs? States with the most job openings for Azure Databricks jobs include:
What job categories do people searching Azure Databricks jobs look for? The top searched job categories for Azure Databricks jobs are:
Azure Databricks jobs near you

Azure DataBricks Engineer (Fulltime - Denver, CO)

K&K Global Talent Solutions

Denver, CO • On-site

Other

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

Job description

Job Title - Azure DataBricks Engineer (OPT andalso Applicable)
Experience - 8+ years
Location - Denver, CO
Hire Type - Fulltime

Must Have Technical/Functional Skills

  • Design, build, and orchestrate ETL/ELT pipelines using Azure Databricks. 
  • Implement batch data ingestion and transformations using PySpark and Spark SQL. 
  • Architect and maintain Lakehouse and analytical warehouse models (fact and dimension schemas) leveraging Delta Lake. 
  • Ensure data quality, reliability, lineage, and governance across the data platform. 
  • Collaborate with security and platform teams to enforce data access controls and best practices. 
  • Experience on CI/CD pipelines using Git for Databricks 
Roles & Responsibilities
  • Act as the onsite lead for Azure Databricks data engineering initiatives. 
  • Supervise and guide an offshore development team, assigning work, reviewing deliverables, and ensuring adherence to best practices. 
  • Perform code reviews, design reviews, and solution walkthroughs for offshore-developed components. 
  • Ensure alignment between offshore execution and onsite architecture, security, and business requirements. 
  • Proactively identify risks, gaps, and improvement opportunities across the data platform. 
  • Prior experience working in a hybrid onsite–offshore delivery model 
  • 6-10 years of hands-on experience in data engineering. 
  • Strong, proven expertise in Azure Databricks and Delta Lake. 
  • Advanced proficiency in SQL with a solid understanding of distributed data processing concepts. 
  • Demonstrated experience leading, mentoring, or supervising data engineering teams. 
  • Strong experience performing code reviews and solution design validations. 
  • knowledge of data security, and access management (RBAC).
  • Preferred / Nice to Have Skills: Experience with Azure Synapse / Fabric, Azure Data Factory. 

Apply