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Azure Databricks Jobs in Washington (NOW HIRING)

VensIT Corp

Lead Databricks Integration

Washington, DC · On-site

$116K - $152K/yr

Hands-on Databricks & Language Mastery: Authoritative, hands-on engineering experience using the ... using Git, Azure DevOps, GitHub Actions, or Terraform. Collaborative Leadership: Exceptional ...

CMT Services Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East ... Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ...

CMT Services, Inc.

Databricks Engineer

Adelphi, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East ... Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ...

CMT Services Inc

Databricks Engineer

Hyattsville, MD · On-site

Databricks Engineer Location: University of Maryland Global Campus 3501 University Blvd. East ... Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD

$100K - $140K/yr

Proficiency in Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage. * Experience with Microsoft SQL Server tools ...

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 ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD · On-site

$100K - $140K/yr

Proficiency in Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage. * Experience with Microsoft SQL Server tools ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD

$100K - $140K/yr

Proficiency in Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, and Azure Blob Storage. * Experience with Microsoft SQL Server tools ...

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Azure Databricks information

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 Washington? The most popular types of Azure Databricks jobs in Washington are:
What are popular job titles related to Azure Databricks jobs in Washington? For Azure Databricks jobs in Washington, the most frequently searched job titles are:
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Azure Databricks jobs near you

Data Engineer / Architect (Databricks Pro Certified)

Infinitive Inc

Ashburn, VA • On-site

$170K - $215K/yr

Full-time

Re-posted 4 days ago

Job description

*Candidates must possess US Citizenship with the ability to gain a government security clearance.
About Infinitive:
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 possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named "Best Small Firms to Work For" by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post "Top Workplace", Washington Business Journal "Best Places to Work", and Virginia Business "Best Places to Work."
Job Summary:
We are seeking a highly skilled Data Engineer/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 maintaining scalable data architectures, ensuring data integrity, and optimizing data flow and collection. This role requires a deep understanding of cloud-based data solutions and strong expertise in leveraging Databricks to drive data initiatives.
Key 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.

Required Skills and Qualifications:
  • 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 Qualifications:
  • 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.

Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $170,000.00- $215,000.00.
Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

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