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Azure Databricks Jobs in Virginia (NOW HIRING)

Steampunk

Data Engineer - Databricks

Mclean, VA

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Databricks, SQL, PySpark/Python, AWS * Support an Agile software development lifecycle * You will contribute to the growth of our AI & Data ...

Deloitte

Databricks Engineering Consultant

Rosslyn, VA · On-site

Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) * Ability to travel 25 ... Databricks Data Engineer Associate, Databricks Data Engineer Professional, or Databricks Data ...

Steampunk

Data Engineer - Databricks

Mclean, VA

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Databricks, SQL, PySpark/Python, AWS * Support an Agile software development lifecycle * You will contribute to the growth of our AI & Data ...

Steampunk

Data Engineer - Databricks

Mclean, VA · On-site

$110K - $160K/yr

Alternatively Azure, GCP). * Key must have skill sets - Databricks, SQL, PySpark/Python, AWS * Support an Agile software development lifecycle * You will contribute to the growth of our AI & Data ...

Carmax

Engineer II, Data

Richmond, VA · On-site

$113K - $136K/yr

Azure Databricks * Azure Functions (or equivalent serverless frameworks: AWS Lambda, Cloud Functions) * Cosmos DB (or comparable NoSQL stores such as DynamoDB, Cassandra) * Experience working with ...

Steampunk

Senior Data Engineer - Databricks

Mclean, VA · On-site

$140K - $180K/yr

Alternatively Azure, GCP). * Key must have skill sets - Databricks, SQL, PySpark/Python, AWS * Support an Agile software development lifecycle * You will contribute to the growth of our AI & Data ...

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How much do azure databricks jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for azure databricks in Virginia is $57.90, according to ZipRecruiter salary data. Most workers in this role earn between $52.45 and $65.05 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.

What are the most commonly searched types of Azure Databricks jobs in Virginia? The most popular types of Azure Databricks jobs in Virginia are:
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Azure Databricks jobs near you

Senior Data Engineer/Architect (Databricks Pro Certified)

Infinitive

Ashburn, VA • On-site

$68.75 - $92/hr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We are seeking a highly skilled Data Engineer with extensive experience in Databricks on AWS or Azure to join our dynamic team, responsible for designing, building, and maintaining scalable data architectures.
Responsibilities:
• Design, develop, and implement data architectures and solutions on Databricks in both AWS and Azure.
• Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
• Develop and maintain ETL processes to ensure efficient data flow and integration across systems.
• Ensure data quality, integrity, and security in all data-related activities.
• Optimize data storage and retrieval strategies to improve performance and cost-efficiency.
• Lead the implementation of data governance policies and procedures.
• Provide technical guidance and mentorship to data engineering teams.
• Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and Azure.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• Proven experience as a Data Architect, with a strong focus on Databricks.
• Proficiency in Databricks, including the ability to build and optimize Spark applications.
• Extensive experience with AWS services such as S3, Redshift, EMR, Lambda, Glue, and others.
• Strong knowledge of Unity Catalog and its application in managing and securing data assets.
• Strong knowledge of data modeling, ETL processes, and data warehousing concepts.
• Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with data governance and data security practices.
• Databricks Certified Professional.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
Preferred:
• AWS Certified Solutions Architect or similar certification.
• Experience with other cloud platforms (e.g., Azure, GCP).
• Knowledge of machine learning and data science concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Prior experience in a leadership or mentorship role.
Company:
Infinitive helps companies master the digital world with capabilities in marketing, digital advertising, business transformation and more. Founded in 2003, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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