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Azure Databricks Jobs (NOW HIRING)

Kynite

Azure Databricks Admin

OR

$51.50 - $64/hr

Must have strong experience with all Azure cloud components including Storage Accounts, Azure Databricks at admin capacity. Must have clear understanding of NSGs, azure baseline security guidelines.

Kynite

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

... Accounts, Azure Databricks at admin capacity. • Must have clear understanding of NSGs, azure baseline security guidelines. • Good to have experience with Azure Synapse, PowerBI. • Proven ...

Deloitte

Azure/Databricks Infrastructure Engineer

Tampa, FL · On-site

$52.75 - $70.50/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

Deloitte

Azure/Databricks Infrastructure Engineer

Miami, FL · On-site

$53.25 - $71.25/hr

As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data ...

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 ...

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Azure Databricks information

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How much do azure databricks jobs pay per hour?

As of Jun 18, 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 highly sought-after skill in data engineering and analytics roles due to its widespread adoption for big data processing and machine learning. Professionals with expertise in Spark, cloud platforms, and data pipelines using Azure Databricks are increasingly in demand across industries seeking scalable data solutions.

How much do Databricks employees make?

Azure Databricks employees' salaries vary based on role, experience, and location, but the average salary for data engineers and data scientists ranges from $100,000 to $150,000 annually. Entry-level positions typically start around $80,000, while senior roles can exceed $180,000. Compensation often includes benefits such as stock options and performance bonuses, especially for technical roles requiring expertise in cloud platforms and big data tools.

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.

What are jobs in Azure Databricks?

Jobs in Azure Databricks refer to automated tasks or workflows that run data processing, analytics, or machine learning tasks on the platform. They are scheduled or triggered to execute notebooks, JAR files, or Python scripts, often requiring knowledge of Spark, Scala, or Python, and are managed through the Azure Databricks workspace. These jobs enable scalable data engineering and analytics operations for data teams.

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 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.

Are Databricks skills in demand?

Azure Databricks skills are highly in demand as organizations seek professionals proficient in cloud-based data analytics, big data processing, and machine learning. Knowledge of Spark, Python, and data engineering concepts enhances job prospects in roles such as data engineer, data scientist, and analytics engineer.
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Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure Databricks Machine Learning Engineer

Azure Databricks Machine Learning Engineer

Stellent IT LLC

New York, NY • On-site

Other

Posted 24 days ago

Job description

Databricks Certificate is required.

ROLE: Azure Databricks Machine Learning Engineer

LOCATION: Hybrid in NYC

LinkedIn is must. Locals only.

Job Description

We are looking for an experienced Azure Databricks ML Engineer with a strong background in machine learning model deployment. The ideal candidate will have at least 7 years of experience and be proficient in PySpark, Python, and SQL. A solid understanding of statistical analysis is a plus. Applies engineering disciplines to cloud computing and brings a systematic approach to concerns of commercialization, standardization, and governance of cloud computing applications. Leverages the methods and tools of engineering in conceiving, developing, operating and maintaining cloud computing systems and solutions. Uses the economics of cloud resources to solve business problems.

Key Responsibilities:

  • Design, develop, and deploy machine learning models using Azure Databricks.
  • Implement and manage Azure Databricks ML Flow for tracking and managing ML experiments.
  • Apply ML Ops best practices to ensure robust and scalable model deployment.
  • Deploy and manage Large Language Models (LLMs) and Generative AI (GenAI) models on Databricks.
  • Collaborate with data scientists and engineers to integrate ML models into production environments.
  • Optimize and maintain existing ML models to ensure high performance and scalability.
  • Utilize PySpark, Python, and SQL for data processing and analysis.
  • Conduct statistical analysis to support data-driven decision-making.
  • Troubleshoot and resolve issues related to ML model deployment and performance.
  • Stay up-to-date with the latest advancements in machine learning and cloud technologies.

Qualifications:

  • 7+ years of experience in ML model deployment using Azure Databricks.
  • Proficiency in PySpark, Python, and SQL.
  • Experience with Azure Databricks ML Flow and ML Ops best practices.
  • Experience with deploying and managing LLMs and GenAI models on Databricks.
  • Experience with statistical analysis is a plus.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
  • Bachelor's degree in Computer Science, Data Science, or a related field (Master's preferred)

Technical Skills

  • 3+ years of experience with creating stored procedures in SQL
  • Azure Databricks
  • Azure Databricks machine learning certificate
  • Bayesian Machine Learning
  • Machine Learning Operations
  • pandas
  • PySpark
  • Quantitative Statistical Analysis

Shubham Singh- Sr. Technical Recruiter

Email- shubham@stellentit.com

STELLENT IT A Nationally Recognized Minority Certified Enterprise

"Happiness can be found, even in the darkest of times, if one only remembers to turn on the light."
- JK Rowling

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About Stellent IT

Sourced by ZipRecruiter

Stellent IT, based in St Augustine, Florida, USA, is a renowned company in the IT sector whose primary focus is providing top-tier IT consulting and staffing services. Stellent IT's expertise lies not just in fulfilling IT staffing needs but in offering comprehensive technological solutions that enhance and drive business performance. Despite the limited information about their founding history, the company has earned a name for itself in the IT industry due to its commitment to quality and consistent delivery. With a mission centered around helping businesses efficiently navigate the IT landscape by providing strategic technology-inspired solutions, Stellent IT prides itself as a leader in its field.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

St Augustine, FL, US

Social media

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