ZipRecruiter

Log In

1

Freelance Azure Data Engineer Jobs in Virginia (NOW HIRING)

CyberMedia Technologies

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse ...

Node.Digital LLC

Senior Data Engineer

Herndon, VA · On-site

$120 - $160/hr

Senior Data Engineer Location: Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY ... Migrate source data identified by SBA OIG into Azure Data Lake Storage. * Normalize entity ...

New

Pioneering Evolution LLC

Data Engineer

Arlington, VA · On-site

$100K - $155K/yr

The Data Engineer will work closely with software engineers, the Chief Engineer, product teams ... The ideal candidate brings strong experience with PostgreSQL, Microsoft Azure, data modeling, ETL ...

New

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$93K - $176K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing ... Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer ...

TLA-LLC

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Azure Data Engineer Associate / Azure Solutions Architect. o AWS Certified Data Analytics - Specialty / Solutions Architect - Professional. o Google Cloud Professional Data Engineer / Architect.

CapTech Consulting

Data Engineer (AWS, Azure, GCP)

Reston, VA · On-site

$119K - $143K/yr

Specific responsibilities for the Data Engineer - Cloud position include:  * Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud ...

previous page

Showing results 41-60

All JobsAzure Data Engineer JobsFreelance Azure Data Engineer JobsFreelance Azure Data Engineer Jobs in Virginia

Freelance Azure Data Engineer information

What does a freelance Azure Data Engineer do?

A Freelance Azure Data Engineer is a professional who designs, builds, and maintains data solutions on Microsoft Azure for various clients or organizations on a contract or project basis. Their responsibilities include developing data pipelines, managing data storage, ensuring data security, and optimizing data processes using Azure services like Azure Data Factory, Azure SQL Database, and Azure Databricks. They often work independently, collaborating with clients to understand requirements and deliver scalable, cloud-based data solutions. This role requires strong knowledge of cloud computing, data engineering best practices, and Microsoft Azure's suite of data tools.

What are the key skills and qualifications needed to thrive as a freelance Azure Data Engineer?

To thrive as a Freelance Azure Data Engineer, you need expertise in data modeling, ETL development, and a strong grasp of cloud data architectures, typically supported by a degree in computer science or related fields. Familiarity with Microsoft Azure data services (such as Azure Data Factory, Synapse Analytics, and Azure SQL Database), proficiency in SQL, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, effective communication, and the ability to work independently distinguish top freelancers in this role. These competencies are crucial for delivering scalable, efficient, and reliable data solutions that meet diverse client needs in dynamic project environments.

What are some common challenges faced by freelance Azure Data Engineers when working with multiple clients?

Freelance Azure Data Engineers often face challenges such as managing diverse client requirements, adapting to different data architectures, and ensuring data security across various environments. Balancing multiple projects can require strong time management and communication skills, especially when clients have overlapping deadlines or use different Azure services. Effective documentation and proactive communication with client teams are essential to align expectations and deliver consistent, high-quality solutions.

What is the difference between Freelance Azure Data Engineer vs Azure Data Analyst?

AspectFreelance Azure Data EngineerAzure Data Analyst
CredentialsAzure certifications, SQL, data engineering skillsAzure certifications, Power BI, data analysis skills
Work EnvironmentProject-based, remote or on-site, client-specificProject-based or full-time, remote or on-site, client or internal teams
Industry UsageUsed across industries for building data pipelines and infrastructureUsed for interpreting data, creating reports, and visualizations

Freelance Azure Data Engineers focus on designing and implementing data infrastructure using Azure, while Azure Data Analysts primarily analyze data and create visual reports. Both roles require Azure certifications but serve different functions in data management and analysis.

What are the most commonly searched types of Azure Data Engineer jobs in Virginia?

The most popular types of Azure Data Engineer jobs in Virginia are:

What are popular job titles related to Freelance Azure Data Engineer jobs in Virginia?

For Freelance Azure Data Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Freelance Azure Data Engineer jobs in Virginia look for?

The top searched job categories for Freelance Azure Data Engineer jobs in Virginia are:

What cities in Virginia are hiring for Freelance Azure Data Engineer jobs?

Cities in Virginia with the most Freelance Azure Data Engineer job openings:

Freelance Azure Data Engineer jobs near you
Infographic showing various Freelance Azure Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, and 27% Temporary. Highlights an 100% In-person job distribution.

Data Engineer

CyberMedia Technologies

Mclean, VA • On-site

$115K - $139K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Key responsibilities

  • Design, develop, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data into modern cloud-based data platforms.

  • Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases.

  • Develop data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains.

Job description

CTEC is a leading technology firm that provides modernization, digital transformation, and application development services to the U.S. Federal Government. Headquartered in McLean, VA, CTEC has over 300 team members working on mission-critical systems and projects for agencies such as the Department of Homeland Security, Internal Revenue Service, and the Office of Personnel Management. The work we do effects millions of U.S. citizens daily as they interact with the systems we build. Our best-in-class commercial solutions, modified for our customers' bespoke mission requirements, are enabling this future every day.

The Company has experienced rapid growth over the past 3 years and recently received a strategic investment from Main Street Capital Corporation (NYSE: MAIN). In addition to our recent growth in Federal Civilian agencies, we are seeking to expand our capabilities in cloud development and footprint in national-security focused agencies within the Department of Defense and U.S. Intelligence Community.

We are seeking to hire a Data Engineer to our team!

Client:
CTEC develops and delivers innovative customer-centric technologies and solutions that support the Office of Personnel Management's (OPM) Health and Insurance business unit and Office of the Chief Information Officer (OCIO).

Duties and Responsibilities:

  • Data Pipeline & ETL Development: Design, develop, and maintain scalable ETL pipelines and data workflows to ingest, transform, and integrate data from legacy systems and external sources into modern cloud-based data platforms.
  • Cloud Data Platform & Databricks Implementation: Build, optimize, and maintain data processing solutions using Azure Databricks and lakehouse architectures to support analytical, operational, and reporting use cases.
  • Data Migration Support: Support phased data migration from legacy databases and ETL tools to Azure Databricks environments, including transformation documentation and data mapping.
  • Lakehouse & Data Layer Design: Implement layered lakehouse data architectures (e.g., bronze, silver, gold layers) in Databricks to support data quality, performance, and downstream reporting needs.
  • Python & PySpark Development: Develop data processing notebooks, workflows, and distributed data transformations using Python and PySpark within Databricks environments.
  • Data Quality & Validation: Develop data validation, reconciliation, and testing processes to ensure data accuracy, completeness, and consistency across data domains.
  • Data Integration & Interoperability: Integrate Databricks data platforms with analytics and reporting tools to enable business intelligence and operational dashboards.
  • Data Governance & Security Implementation: Support data governance initiatives including metadata management, data catalog integration, encryption, access controls, and compliance with federal data protection requirements.
  • DevOps & CI/CD Support: Maintain source control and CI/CD pipelines for Databricks and data engineering workflows, supporting automated promotion across environments.
  • Technical Collaboration: Work closely with data architects, solution architects, business analysts, and reporting teams to implement approved data solutions.
  • Operational Support & Troubleshooting: Provide ongoing support for Databricks workflows, resolve pipeline failures, and troubleshoot complex data processing issues.
  • Mentorship & Knowledge Sharing: Provide guidance to junior data engineers and contribute to documentation and team enablement.
  • Works under minimal supervision with minor guidance from senior personnel.

Skills & Work Experience:

  • Professional Experience: 7+ years of experience in data engineering, ETL development, or large-scale data integration environments.
  • Strong experience designing and developing ETL pipelines and data transformations in Azure Databricks environments.
  • Strong proficiency in SQL and Python, with hands-on experience using PySpark for distributed data processing.
  • Experience working with cloud-based data platforms, data lakes, and lakehouse environments, preferably on Microsoft Azure.
  • Experience implementing layered lakehouse data architectures (bronze, silver, gold) for enterprise analytics.
  • Familiarity with Spark-based big data processing frameworks.
  • Experience supporting data migration from legacy databases and ETL tools to Databricks-based platforms.
  • Experience integrating Databricks platforms with business intelligence and reporting tools such as Power BI.
  • Familiarity with data governance, metadata management, and data security best practices.
  • Experience with source control and CI/CD pipelines for data engineering and Databricks workflows.
  • Working knowledge of SDLC and Agile delivery methodologies.
  • Excellent organizational, communication, and collaboration skills.

Preferred:

  • Hands-on experience with Azure Databricks workflows, Delta tables, and Databricks job orchestration.
  • Experience with Azure Data Lake, Azure Data Factory, or similar Azure data services.
  • Experience supporting federal IT modernization or large-scale enterprise data transformation initiatives.
  • Familiarity with healthcare, insurance, or benefits administration data environments.
  • Experience implementing data governance or data catalog platforms.

Education:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline. Equivalent education or professional experience will be considered in lieu of a degree.

Clearance:
Must be a U.S. citizen and be able to obtain a Public Trust clearance.

If you are looking for a fun and challenging environment with talented, motivated people to work with, CTEC is the right place for you. In addition to employee salary, we offer an array of employee benefits including:

  • Paid vacation & Sick leave

  • Health insurance coverage

  • Career training

  • Performance bonus programs

  • 401K contribution & Employer Match

  • 11 Federal Holidays