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Databricks Developer Jobs (NOW HIRING)

Apex 2000

SS - DATABRICKS ROLE

San Diego, CA · Hybrid

Please sendin resume DATABRICKS DEVELOPER Location - San Diego CA - HYBRID ONSITE Preferably San Diego location or should be ready to travel to San Diego twice a month if other location. Core Skills

Genesis10

Developer - Databricks

Jersey City, NJ · On-site

$82.44 - $86.44/hr

Databricks & Data Engineering Databricks Apps development and deployment Delta Lake, Lakehouse / Lakebase architecture Medallion Architecture (Bronze / Silver / Gold) Databricks Jobs, performance ...

Diverse Lynx

Azure DataBricks Engineer

Dallas, TX

$130K - $140K/yr

Azure Databricks Developer Location: Louisville, KY/ Chicago, IL/ Dallas, TX / Arlington, VA Job Type: Fulltime Salary Range: $130,000-$140,000 a year Must Have Technical/Functional Skills: * Design ...

Diverse Lynx

Azure DataBricks Engineer

Arlington, VA · On-site

$130K - $140K/yr

Azure Databricks Developer Location: Louisville, KY/ Chicago, IL/ Dallas, TX / Arlington, VA Job Type: Fulltime Salary Range: $130,000-$140,000 a year Must Have Technical/Functional Skills: * Design ...

Diverse Lynx

Azure DataBricks Engineer

Chicago, IL

$130K - $140K/yr

Azure Databricks Developer Location: Louisville, KY/ Chicago, IL/ Dallas, TX / Arlington, VA Job Type: Fulltime Salary Range: $130,000-$140,000 a year Must Have Technical/Functional Skills: * Design ...

Deloitte

Databricks Engineering Consultant

Arlington, VA · On-site

Share this job: Share: Share Databricks Engineering Consultant with Facebook Share Databricks Engineering Consultant with LinkedIn Share Databricks Engineering Consultant with Twitter Caution against ...

RSD Solutions

Application Developer

Jersey City, NJ · Hybrid

Application Developer - Senior Databricks Full Stack Consultant (Banking) Engagement Overview - Looking for a Databricks centric Full Stack Consultant with deep expertise in Databricks app ...

Deloitte

Databricks Engineer

Kansas City, MO · On-site +1

As an experienced Databricks Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Deloitte

Databricks Engineer

Birmingham, AL · On-site +1

As an experienced Databricks Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

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How much do databricks developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for databricks developer in the United States is $61.49, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.03 per hour, depending on experience, location, and employer.

What is a Databricks Developer job?

A Databricks Developer is responsible for designing, developing, and optimizing data pipelines and workflows using Databricks, a cloud-based data analytics platform. They work with big data technologies, such as Apache Spark, to process, transform, and analyze large datasets efficiently. Their role includes writing scalable code, creating data models, and collaborating with data engineers and analysts to support business intelligence and machine learning initiatives.

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

To thrive as a Databricks Developer, you need strong skills in data engineering, Spark programming, SQL, and cloud platforms, typically with a background in computer science or a related field. Hands-on experience with Databricks, Apache Spark, Python/Scala, and knowledge of cloud services like AWS or Azure, as well as relevant certifications, are highly valued. Analytical thinking, problem-solving, effective communication, and the ability to collaborate across teams are essential soft skills for this role. These abilities are crucial to designing scalable data solutions, streamlining data pipelines, and supporting business analytics in modern data-driven organizations.

What are the typical daily responsibilities of a Databricks Developer?

As a Databricks Developer, your typical day involves designing, developing, and maintaining scalable data pipelines using Databricks and Apache Spark. You’ll collaborate with data engineers, data scientists, and business analysts to ensure data is clean, accessible, and reliable for analytics and reporting. Tasks often include code reviews, optimizing data workflows, troubleshooting performance issues, and implementing best practices for data security and governance. This role offers a dynamic work environment that blends technical challenge with teamwork across multiple departments.
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Databricks Developer jobs near you
Infographic showing various Databricks Developer job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $127,901 per year, or $61.5 per hour.

Azure Databricks Engineer

Futran Tech Solutions Pvt. Ltd.

Dallas, TX

$55.50 - $74/hr

Other

Posted 26 days ago

Job description

Azure Databricks Engineer

Collaborate with source data application teams and product owners to design, implement, and support analytics solutions that provide actionable insights.

Implement data migration and data engineering solutions using Azure products and services: Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc., along with traditional data warehouse tools.

Perform multiple aspects of the development lifecycle: design, cloud engineering (infrastructure, network, security, administration), ingestion, preparation, data modeling, testing, CI/CD pipelines, performance tuning, deployments, consumption, BI, alerting, and production support.

Provide technical leadership and collaborate within a team environment or work independently.

Participate in a DevOps team that owns and supports their product.

Implement batch and streaming data pipelines using cloud technologies.

Bring senior-level expertise in Databricks, Azure services, and leading teams.

Formulate solutions, recognize problems, and work with geographically dispersed teams.

Work effectively in Agile environments and be available for CST time zone shifts.

Strong written and oral communication skills.

Responsibilities
  • Design, implement, and support analytics solutions with source data teams.
  • Implement data migration and engineering solutions using Azure and traditional tools.
  • Manage all development lifecycle stages, including cloud infrastructure, data modeling, testing, CI/CD, BI reporting, and production support.
  • Lead and mentor team members while providing technical guidance.
  • Deliver batch and streaming data pipelines using Azure cloud technologies.
  • Ensure solution quality, security, and performance across all data processes.
Must-Have Skills
  • Bachelor’s degree in Computer Science, Engineering, or related technical discipline, or equivalent experience.
  • 3+ years in software solution development using Agile/DevOps.
  • 3+ years of data analytics experience using SQL.
  • 2+ years of Azure cloud development and data lake experience, including Azure Data Factory, Databricks, Event Hub, Blob Storage, Data Lake, Functions, DevOps, Power Apps, and Power BI.
  • Development, administration, and support experience in Python, PySpark, Unix, SQL, Teradata, SQL Server, ADLS, Azure Data Explorer.
  • CI/CD tools: GitHub, Azure DevOps, Terraform.
  • BI tools: Power BI, Cognos.
  • Top skills: Agile development, Databricks/Python, Azure Data Factory, data validations.
Nice-to-Have / Preferred Qualifications
  • 5+ years of software solution development in Agile/DevOps.
  • 3+ years of full-stack development experience in Azure.
  • 3+ years of cloud/data lake experience with Azure services (Event Hub, Data Factory, Databricks, DevOps, Blob Storage, Power Apps, Power BI).
  • Airline industry experience is a plus.
  • Azure Development Track and Spark Certifications preferred.
  • Expertise in Azure stack for data ingestion, processing, curation, and consumption layers.

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