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Azure Databricks Jobs in Washington (NOW HIRING)

Infinitive

Senior Data Engineer (Databricks)

Ashburn, VA · On-site

$68.75 - $92/hr

They are seeking a highly skilled Data Architect with extensive experience in Databricks on AWS or Azure to design, build, and maintain scalable data architectures while ensuring data integrity and ...

Quantum Vision

Data Architect

Vienna, VA · On-site

$64 - $82.25/hr

Required Qualifications • Power BI: 8 years • Databricks: 5 Years • Python Scripting: 5 Years • Azure DevOps: 3 Years • SharePoint: 3 Years • Strong interpersonal skills and the ability ...

Dlapiper

Data Engineer

Washington, DC

$129K - $155K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Infinitive Inc

Senior Data Engineer (Databricks)

Ashburn, VA · On-site

$108K - $147K/yr

We are seeking a highly skilled Data Architect with extensive experience in Databricks on AWS or Azure to join our dynamic team. The ideal candidate will be responsible for designing, building, and ...

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

Reston, VA

$119K - $143K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Deloitte

Databricks Manager

Rosslyn, VA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations * Experience with Databricks MLOps or ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud * Understanding of data models, large datasets, business/technical ...

Deloitte

Databricks Manager

Mclean, VA · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations * Experience with Databricks MLOps or ...

Deloitte

Databricks Manager

Washington, DC · On-site +1

Experience building Databricks environments in Microsoft Azure Cloud Services, Amazon Web Services, or Google Cloud Platform, including integrations * Experience with Databricks MLOps or ...

Horizon Industries

Databricks Data Engineer

Vienna, VA

$114K - $138K/yr

Experience in crafting database / data warehouse solutions in the cloud (Preferably AWS, Azure, Alternatively GCP) * Key must have skill sets - Python, SQL, Databricks, AWS Data Services * Experience ...

A.C. Coy

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · Hybrid

$98K - $124K/yr

... the Azure/Databricks environment. * Work with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial ...

A.C. Coy

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · On-site +1

$98K - $124K/yr

... the Azure/Databricks environment. * Work with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial ...

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All JobsAzure Databricks JobsAzure Databricks Jobs in Washington

Azure Databricks information

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 Washington as of June 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 76% Physical, 5% Hybrid, and 19% Remote job distribution.

Senior Data Engineer (Databricks)

Infinitive

Ashburn, VA • On-site

$68.75 - $92/hr

Full-time

Posted 2 days ago

Job description

Job Summary:
Infinitive is a data and AI consultancy that helps clients modernize and operationalize their data. They are seeking a highly skilled Data Architect with extensive experience in Databricks on AWS or Azure to design, build, and maintain scalable data architectures while ensuring data integrity and optimizing data flow.
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 Associate.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
Preferred:
• AWS Certified Solutions Architect or similar certification.
• Databricks Certified Professional.
• 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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