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Remote Azure Databricks Jobs in Washington, DC (NOW HIRING)

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This position is fully remote with up to 10% travel to the DC Metropolitan area for client meetings ... Databricks on Azure for data engineering and ML pipeline support. * SQL, Python, Spark, Tableau.

LinTech Global

Sr. Databricks Migration Engineer

Washington, DC · Remote

$118K - $162K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Location: 100% Fulltime Remote Position Description * The individual serves as the authoritative ... Align the Lakehouse security architecture with existing enterprise Azure Active Directory ...

Sparibis

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Learning, Databricks, Logic Apps, AI Foundry). * Proficiency in programming languages such as ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass background ... Azure services such as Containers, Functions, Databricks, SQL, Cosmos DB * Evaluate AI ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass background ... Azure services such as Containers, Functions, Databricks, SQL, Cosmos DB * Evaluate AI ...

System One

AI QA Analyst - 100% REMOTE

Washington, DC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote - offsite Hours: 40 hours a week Security Clearance: No clearance but must pass background ... Azure services such as Containers, Functions, Databricks, SQL, Cosmos DB * Evaluate AI ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible to obtain and maintain ... Experience with cloud platforms (AWS, Azure, or GCP) * Knowledge of HIPAA, healthcare data ...

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Remote Azure Databricks information

What is a remote Azure Databricks?

Remote Azure Databricks jobs are positions where professionals use Azure Databricks—a cloud-based analytics platform optimized for big data and machine learning—while working from a remote location. These roles typically involve tasks like building data pipelines, analyzing large datasets, developing and deploying machine learning models, and collaborating with teams virtually. Remote Azure Databricks professionals need strong skills in Spark, Python or Scala, and a good understanding of cloud computing. They often work as data engineers, data scientists, or analytics specialists, leveraging the platform’s capabilities to deliver data-driven insights for organizations.

What is the difference between Remote Azure Databricks vs Remote Data Engineer?

AspectRemote Azure DatabricksRemote Data Engineer
Required CredentialsAzure certifications, Spark/Databricks knowledgeData engineering certifications, SQL, cloud platform skills
Work EnvironmentCloud-based, collaborative platform for data analyticsData pipelines, database management, cloud environments
Industry UsageData analytics, AI, machine learning projectsData pipeline development, ETL processes

Remote Azure Databricks specialists focus on leveraging the Databricks platform for data analytics and machine learning, often working within cloud environments. Remote Data Engineers build and maintain data pipelines and infrastructure, frequently using cloud tools. While both roles require cloud and data skills, Azure Databricks roles are more centered on analytics and AI, whereas Data Engineers focus on data infrastructure and processing.

What skills and qualifications are needed to thrive as a remote Azure Databricks professional?

To thrive as a Remote Azure Databricks professional, you need strong expertise in data engineering, cloud computing, and proficiency in programming languages such as Python or Scala, typically supported by a relevant degree or certifications. Familiarity with Azure services, Databricks platform, Spark, and data pipeline orchestration tools is essential, often validated by Microsoft Azure or Databricks certifications. Excellent problem-solving, collaboration, and communication skills help you work effectively in distributed teams and convey complex technical concepts clearly. These skills and qualifications ensure robust data solutions, efficient remote teamwork, and the ability to leverage cloud analytics for business impact.

What are common challenges faced by remote Azure Databricks engineers, and how can they be managed?

Remote Azure Databricks engineers often encounter challenges related to collaboration and data security. Since Databricks projects typically involve large datasets and multiple stakeholders, coordinating work across time zones and ensuring secure data access can be complex. To manage these challenges, it's important to establish clear communication channels, use project management tools, and follow best practices in data governance. Regular team meetings and thorough documentation also help maintain alignment and ensure project success.

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 Remote Azure Databricks jobs in Washington, DC?

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

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

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

Remote Azure Databricks jobs near you

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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