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Azure Databricks Jobs in Washington, DC (NOW HIRING)

Cognizant

Senior Azure Engineer

Washington, DC · On-site

$140 - $155/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Architect - Azure & Databricks Location: Washington, DC (Onsite) Role Summary We are seeking an experienced Data Architect with deep expertise in Azure Data Platform and Databricks to design and ...

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a hands-on Databricks Data Engineer with deep expertise in Azure Databricks and MLOps, this role will have the opportunity to migrate and translate legacy SSIS ETL logic into scalable, cloud ...

PamTen Inc

Databricks Architect

Washington, DC · On-site

$73 - $96/hr

... Azure environments. • Define architecture standards, best practices, and reusable design patterns. • Mentor data engineers, analysts, and architects on Databricks technologies and platform ...

CyberMedia Technologies

Data Engineer

Mclean, VA

$115K - $139K/yr

Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases. * Data Migration Support:

MDAEdge

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Azure Data Engineer Associate or Databricks Certified Professional Data Engineer • Government or highly regulated environment experience (7+ years) Company : The world doesn't have a talent ...

Pipe Recruit

Senior Engineer

Rockville, MD · On-site

$106K - $146K/yr

Responsibilities : • Design, develop, and deploy robust data solutions using: • + Azure Data Lake (Gen1/Gen2) • + Azure Data Factory • + Azure Databricks (including Spark clusters) • ...

Guidehouse

Senior Data Engineer

Mclean, VA

$107K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Design, build, and operate Azure Lakehouse architectures using Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, and Azure Data Factory to support analytical and ...

SiloSmashers

Testing not a real job

Alexandria, VA · On-site

Deploy and maintain models on Azure (Azure ML, Azure Databricks, and/or AKS), ensuring reliability and cost efficiency at scale.Monitor model performance in production, diagnose drift and degradation ...

Capital Axis Solutions

Be Seen First

Senior Azure Data Engineer / Azure Synapse Engineer

Hanover, MD · On-site

$115K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Experience with Azure Synapse, Azure Data Factory, Azure Databricks, and Azure Stream Analytics. * Expert hands-on software development experience using C#, ASP.NET, Web Services/APIs. * Experience ...

New

Capital Axis Solutions

Be Seen First

Senior Azure Data Engineer / Azure Synapse Engineer

Hanover, MD · On-site

$115K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Experience with Azure Synapse, Azure Data Factory, Azure Databricks, and Azure Stream Analytics. * Expert hands-on software development experience using C#, ASP.NET, Web Services/APIs. * Experience ...

New

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All JobsAzure Databricks JobsAzure Databricks Jobs in Washington, DC

Azure Databricks information

See Washington, DC salary details

$12

$66

$90

How much do azure databricks jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for azure databricks in Washington, DC is $66.15, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $74.33 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, leading to strong demand for professionals skilled in its use. Roles often require knowledge of Spark, cloud computing, and data pipeline development, making Azure Databricks expertise valuable in the data industry.

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 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?

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.

Does Azure Databricks allow remote work?

Azure Databricks is a cloud-based data analytics platform used by data engineers and data scientists, and remote work is common for roles involving this technology. Many organizations enable remote work for Azure Databricks professionals, especially those with skills in cloud computing, data engineering, and collaboration tools. However, specific remote work policies depend on the employer and job role.

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.

What are the most commonly searched types of Azure Databricks jobs in Washington, DC?

The most popular types of Azure Databricks jobs in Washington, DC are:

What are popular job titles related to Azure Databricks jobs in Washington, DC?

For Azure Databricks jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Azure Databricks jobs in Washington, DC look for?

The top searched job categories for Azure Databricks jobs in Washington, DC are:

Azure Databricks jobs near you
Infographic showing various Azure Databricks job openings in Washington, DC as of August 2026, with employment types broken down into 86% Full Time, 3% Part Time, and 11% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

SR Azure Data Factory- Remote

Cognizant Technology Solutions

Washington, DC • On-site, Remote

$72 - $93.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

52nd of 72 rated business consultants

Job description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
This role does not support visa-dependent candidates, either now or in the foreseeable future.
Full time
Hybrid
Washington, DC
Azure Data Engineer / Azure Data Architect
Job Description
Location: Hybrid / Remote
Experience: 8+ Years
Employment Type: Full-Time
Position Overview
We are seeking an experienced Azure Data Engineer / Data Architect with strong expertise in designing, building, and optimizing enterprise-scale data platforms within the Microsoft Azure ecosystem. The ideal candidate will have extensive hands-on experience with Azure Databricks, Azure Data Factory, Azure Data Lake, SQL, Data Warehousing, and Modern Data Architecture patterns.
This role requires a combination of deep technical expertise, architectural leadership, and hands-on development capabilities to design scalable, governed, and high-performing data solutions supporting analytics, reporting, AI/ML, and business operations.
Key Responsibilities
Data Architecture & Platform Design
  • Design and develop scalable, secure, and reusable enterprise data architectures using Azure cloud technologies.
  • Define technical architecture standards, design patterns, and best practices for enterprise data platforms.
  • Build scalable Lakehouse architectures utilizing Azure Data Lake Storage and Azure Databricks.
  • Design and implement Medallion Architecture (Bronze, Silver, Gold Layers) for modern analytics platforms.
  • Create high-level solution designs, data models, architecture diagrams, and technical documentation.
  • Lead architecture reviews and provide technical governance across multiple projects.

Azure Databricks Development (Must Have)
Architecture & Administration
  • Design and manage Azure Databricks environments, clusters, compute resources, and workspaces.
  • Develop and maintain enterprise-scale Lakehouse solutions.
  • Implement Delta Lake architecture and optimize Delta Table performance.
  • Utilize Databricks Unity Catalog for enterprise-wide data governance and metadata management.
  • Configure and manage security, access controls, and data lineage capabilities.

Data Engineering
  • Develop PySpark-based ETL/ELT pipelines for large-scale structured and semi-structured datasets.
  • Read, transform, validate, and write data using Spark DataFrames and Delta Tables.
  • Implement data quality, audit, and reconciliation frameworks using SQL and PySpark.
  • Apply Databricks performance tuning and optimization techniques including:
    • Partitioning
    • Z-Ordering
    • Data Skipping
    • Caching
    • Auto Optimize
    • VACUUM & OPTIMIZE commands

Emerging Technologies
  • Stay current with Databricks innovations including:
    • Lakehouse Architecture
    • Lakeflow
    • Delta Live Tables
    • Unity Catalog
    • Databricks Genie
  • Exposure to AI/ML workloads and LLM-based implementations within Databricks environments is highly desirable.

Azure Data Factory (ADF)
  • Design and implement enterprise-grade ADF pipelines and orchestration frameworks.
  • Develop dynamic and metadata-driven data ingestion pipelines.
  • Build solutions to migrate data from on-premise applications and databases to Azure platforms.
  • Implement failure handling, monitoring, alerting, and notification frameworks.
  • Create parameterized reusable pipeline templates.
  • Develop scheduling, dependency management, and workflow orchestration mechanisms.
  • Implement Slowly Changing Dimension (SCD) Type 2 solutions using ADF, SQL, and Azure Databricks.

SQL & Data Processing
  • Design and optimize complex SQL solutions supporting enterprise reporting and analytics.
  • Utilize advanced SQL analytical functions and windowing functions.
  • Implement and optimize joins, aggregations, subqueries, Common Table Expressions (CTEs), and Self Joins.
  • Perform SQL performance tuning, indexing, query optimization, and execution plan analysis.
  • Develop reusable stored procedures, views, and database objects supporting enterprise applications.

Data Warehousing & Modeling
  • Design enterprise data warehouse solutions using industry-standard modeling techniques.
  • Develop:
    • Fact Tables
    • Dimension Tables
    • Slowly Changing Dimensions (Type 1, 2, and 3)
    • Aggregate Structures
  • Implement and maintain:
    • Star Schema
    • Snowflake Schema
    • Data Vault Models
    • Dimensional Models
  • Understand and apply normalization and denormalization strategies for OLTP and OLAP environments.

Governance & Best Practices
  • Establish and enforce enterprise data engineering standards and best practices.
  • Define governance models for data quality, metadata, lineage, and security.
  • Implement monitoring, auditing, and operational controls across the data platform.
  • Collaborate with security and governance teams to ensure compliance with enterprise standards.
  • Drive adoption of automated testing, CI/CD pipelines, and release automation for data platforms.

Stakeholder Engagement
  • Collaborate with business stakeholders, enterprise architects, project managers, and development teams.
  • Provide architecture guidance, technical leadership, and solution recommendations.
  • Evaluate emerging technologies and provide strategic recommendations for platform modernization.
  • Lead technical workshops, architecture reviews, and design discussions.

Required Qualifications
Education
  • Bachelor's or Master's Degree in:
    • Computer Science
    • Information Systems
    • Engineering
    • Related Technical Discipline

Experience
  • 8+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Warehousing.
  • Proven experience designing and implementing Azure-based enterprise data platforms.
  • Strong understanding of large-scale data processing and cloud-native architectures.

Required Technical Skills
Azure Technologies
  • Azure Databricks
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage Gen2 (ADLS)
  • Azure Synapse Analytics
  • Azure SQL Database
  • Azure Functions
  • Azure Logic Apps

Data Engineering
  • PySpark
  • Spark SQL
  • Delta Lake
  • Unity Catalog
  • Delta Live Tables
  • ETL/ELT Design Patterns
  • Data Quality Frameworks

Database Technologies
  • SQL Server
  • Oracle
  • PostgreSQL

Programming
  • Python
  • SQL
  • PySpark

Data Warehousing
  • Dimensional Modeling
  • Star Schema
  • Snowflake Schema
  • Data Vault
  • Medallion Architecture
  • SCD Type 1/2/3

DevOps & Automation
  • Azure DevOps
  • CI/CD Pipelines
  • ARM Templates
  • PowerShell
  • Azure Automation
  • AZ Copy

Application Accepted: 8/20/2026
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you!
#LI-AV1#CB#Ind123
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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