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Azure Databricks Jobs (NOW HIRING)

Damco Solutions

Azure Databricks Engineer

Atlanta, GA · On-site

Damco Solutions is a company seeking an Azure Databricks Engineer to work with their client in the telecommunication sector. The role involves designing, building, and maintaining ETL or ELT ...

Eliassen Group

Azure Databricks Data Architect

Almont, CO · On-site

$95 - $105/hr

Design Azure Databricks architecture for multi-format data ingestion and transformation. * Document transformation logic and business rules for reuse beyond the engagement. * Own the technical ...

MSR Cosmos

Azure Solution Architect

Jersey City, NJ · On-site

$66.25 - $86.25/hr

Azure Databricks Certified Solution Architect Location: Jersey City, NJ-Onsite/Hybrid Duration: Long Term Job Summary: We are seeking an experienced and certified Azure Databricks Solution Architect ...

Syntricate Technologies

Azure Databrick Lead

Atlanta, GA · On-site

$61 - $79.50/hr

Syntricate Technologies is seeking a skilled Azure Databricks Tech Lead to join their dynamic team. In this role, you will architect, implement, and optimize Azure Databricks solutions to support ...

ClifyX

Azure Data Engineer Databricks

Denver, CO · On-site

$117K - $141K/yr

ClifyX is a company seeking an Azure Data Engineer with expertise in Databricks. The role involves designing, building, and orchestrating ETL/ELT pipelines, ensuring data quality and governance, and ...

Scadea

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

Houston, TX Length: 6-10 months Job Summary We are seeking a skilled Data Engineer with extensive, hands-on expertise in Azure Databricks to design, develop, and manage our enterprise data platform.

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How much do azure databricks jobs pay per hour?

As of Sep 11, 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.

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.
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Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure Databricks Engineer

Atlanta, GA • On-site

Damco Solutions
IT Services • 5 - 10K employees
Learn more about Damco Solutionsexternal

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Damco Solutions is a company seeking an Azure Databricks Engineer to work with their client in the telecommunication sector. The role involves designing, building, and maintaining ETL or ELT pipelines using Databricks, as well as ensuring data quality and optimizing data storage.
Responsibilities:
• Design, build, and maintain scalable and robust ETL or ELT pipelines using Databricks.
• Ingest data from various sources (databases, APIs, streaming services, cloud storage) into the Databricks environment.
• Implement data transformations and cleansing processes to ensure data quality and consistency.
• Utilize Databricks features like Delta Live Tables (DLT) for declarative pipeline development and efficient data processing.
• Manage and optimize data storage within Databricks
• Translate business needs into technical specifications for data solutions.
Qualifications:
Required:
• Deep understanding and hands-on experience with the Databricks platform, including Databricks notebooks, clusters, jobs, Delta Lake, Unity Catalog, and Databricks Programming languages.
• Experience with major cloud provider such as Azure, as Databricks runs on these infrastructures
• Working Experience with streaming data technologies
• Solid understanding of data warehousing principles, dimensional modeling, and various ETL/ELT methodologies.
• Familiarity with Git or other version control systems for collaborative code development.
Company:
Damco Solutions is a provider of IT solutions, services, and products. Founded in 1996, the company is headquartered in Plainsboro, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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