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Full Time Azure Data Factory Jobs in Washington, DC

Design, build, deploy, and maintain scalable ETL/ELT pipelines using SQL, Spark, Databricks, and Azure-native tools such as Azure Data Factory, Azure Synapse, and Azure Data Lake. * Implement ...

Data Engineer

Arlington, VA · On-site

$150K - $155K/yr

Perform data integration at scale with Azure Data Factory. * Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics. * Work with BI ...

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

Design, build, deploy, and maintain scalable ETL/ELT pipelines using SQL, Spark, Databricks, and Azure-native tools such as Azure Data Factory, Azure Synapse, and Azure Data Lake. * Implement ...

Data Engineer

Fairfax, VA · On-site +1

$130K - $155K/yr

Design, build, deploy, and maintain scalable ETL/ELT pipelines using SQL, Spark, Databricks, and Azure-native tools such as Azure Data Factory, Azure Synapse, and Azure Data Lake. * Implement ...

Data Solutions Engineer

Washington, DC · On-site

$129K - $155K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

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) • ...

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 ...

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 ...

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 ...

Data Engineer

Washington, DC

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and ...

Data Engineer

Washington, DC

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory) * Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and ...

Data Assurance & Validation Manager

Chantilly, VA · On-site

$118K - $142K/yr

... Azure Data Factory, or AWS Glue. • Collaborate with data engineers, developers, and BI/reporting teams to resolve data discrepancies and ensure end-to-end accuracy. • Design and execute data ...

Lead Data Test Engineer

Chantilly, VA · On-site

$118K - $142K/yr

... Azure Data Factory, or AWS Glue. • Collaborate with data engineers, developers, and BI/reporting teams to resolve data discrepancies and ensure end-to-end accuracy. • Design and execute data ...

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

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 ...

Senior Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

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 ...

Showing results 21-40

Full Time Azure Data Factory information

See Washington, DC salary details

$12

$66

$90

How much do full time azure data factory jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for full time azure data factory 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.

What is a full time Azure Data Factory job?

Full Time Azure Data Factory jobs are positions where professionals work exclusively with Microsoft Azure Data Factory (ADF), a cloud-based data integration service. These roles typically involve designing, building, and managing data pipelines to move and transform data across various sources in the cloud. Employees in these jobs often collaborate with data engineers, analysts, and other IT staff to ensure efficient data workflows and solutions. Working full-time means the individual is employed on a standard work schedule, usually 40 hours per week, focusing solely on Azure Data Factory-related tasks.

What are the key skills and qualifications needed to thrive as a full time Azure Data Factory professional?

To thrive as a Full Time Azure Data Factory professional, you need strong expertise in data integration, ETL processes, and SQL, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with teams and addressing complex data challenges. Mastering these skills ensures efficient data pipeline development, reliable data management, and successful delivery of business intelligence solutions.

What are some common challenges faced by professionals working full time with Azure Data Factory, and how can they be addressed?

Full-time Azure Data Factory professionals often encounter challenges such as orchestrating complex data workflows, managing data integration across diverse sources, and ensuring data pipeline reliability. Navigating frequent updates to cloud services and maintaining robust security and compliance can also add complexity. These challenges can be addressed by staying updated with Azure documentation, leveraging built-in monitoring and error-handling features, and actively collaborating with data engineers, architects, and business analysts to align on data requirements and best practices.

What is the difference between Full Time Azure Data Factory vs Data Engineer?

AspectFull Time Azure Data FactoryData Engineer
Required SkillsAzure Data Factory, ETL, cloud data integrationSQL, Python, ETL, cloud platforms
CertificationsAzure Data Engineer Associate, Azure certificationsNone specific, often cloud or data certifications
Work EnvironmentCloud-based data integration projectsData pipeline development, database management
Industry UsageData integration roles in cloud-focused companiesData infrastructure across various industries

Full Time Azure Data Factory roles focus on cloud-based data integration using Azure services, often requiring specific certifications. Data Engineers have broader responsibilities in building and maintaining data pipelines across platforms, with skills in SQL and programming. Both roles are essential in data-driven organizations but differ in scope and technical focus.

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

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

What are popular job titles related to Full Time Azure Data Factory jobs in Washington, DC?

For Full Time Azure Data Factory jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Full Time Azure Data Factory jobs in Washington, DC look for?

The top searched job categories for Full Time Azure Data Factory jobs in Washington, DC are:

Infographic showing various Full Time Azure Data Factory job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

Data Engineer

Prometheus Federal Services

Fairfax, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Position Summary
Prometheus Federal Services (PFS) is a trusted partner of federal health agencies. We are exploring the addition of an experienced Data Engineer to support the Department of Veterans Affairs (VA) programs. The ideal candidate brings a deep expertise in SQL, Spark, Databricks, Azure cloud analytics, and database administration (DBA) best practices, including performance tuning, indexing strategies, and data integrity management. This role will design, optimize, and maintain scalable data pipelines and databases across on-prem and cloud environments to support analytics, reporting, and operational decision-making across VA programs. The Data Engineer will collaborate with developers, data scientists, and program stakeholders to deliver reliable, high-performance data and analytics products while improving data accessibility, quality, and operational efficiency.
Essential Duties and Responsibilities
  • Design, build, deploy, and maintain scalable ETL/ELT pipelines using SQL, Spark, Databricks, and Azure-native tools such as Azure Data Factory, Azure Synapse, and Azure Data Lake.
  • Implement workflow orchestration, scheduling, and monitoring to ensure reliable, automated data delivery.
  • Design, develop, and deliver data quality monitoring and observability tools to track data lineage and manage data integrity across data pipelines
  • Optimize data ingestion, transformation, and storage for performance, cost, and maintainability.
  • Administer and optimize relational databases (e.g., SQL Server, Azure SQL, PostgreSQL), perform database performance tuning, indexing, query optimization, and capacity planning.
  • Implement and maintain database security, access controls, and auditing in alignment with VA security and privacy requirements.
  • Support backup/restore strategies, disaster recovery planning, and high‑availability configurations.
  • Monitor database health, troubleshoot issues, and ensure data integrity across environments. Support troubleshooting, root-cause analysis, and continuous improvement of data engineering and DBA processes.
  • Implement automated data quality checks, validation rules, and anomaly detection routines.
  • Develop monitoring dashboards and alerting mechanisms to proactively identify data issues.
  • Support data profiling, lineage tracking, and metadata management to improve transparency and trust in data assets.
  • Collaborate with stakeholders to define quality thresholds and acceptance criteria, translating VA stakeholder needs into scalable, repeatable data engineering and database solutions.
Minimum Qualifications
  • Bachelor’s degree
  • 5+ years of experience in data engineering, ETL/ELT development, or database administration.
  • Strong proficiency in SQL, Python, PySpark, Spark, and Databricks for data ingestion, cleaning, and transformation, including performance tuning, indexing, and query optimization.
  • Experience administering and optimizing relational databases in production environments.
  • Experience working across VA platforms and enterprise data assets.
  • Experience implementing automated data pipelines and data quality monitoring frameworks.
  • Experience with Azure analytics services (Azure Data Factory, Synapse, Azure Data Lake Storage, Azure SQL)
  • Experience with GitHub, GitLab, and GitHub Actions.
  • Authorized to work in the U.S. indefinitely without sponsorship
  • Ability to obtain a public trust
Preferred Qualification
  • Experience building data pipelines and architectures to manage ingest, integration, and data product development for large-scale unstructured datasets (PDFs, documents) across multiple source systems
  • Experience working with data platforms and processing tools, including Databricks and Spark
  • Experience migrating legacy and on-premises data and systems to cloud environments
  • Experience developing data products through a medallion architecture
  • Knowledge and experience applying data governance and data quality management tools, frameworks, and best practices
  • Amazon or Azure cloud certifications

Compensation & Benefits

PFS offers a benefits package that may include health, dental, and vision coverage; flexible spending accounts; disability and life insurance; a retirement plan; paid time off; and other programs to support employees and their families. Learn more about PFS Benefits.
The posted salary range is the company’s good-faith estimate for this role. PFS benefits and compensation are determined by various factors, including, but not limited to, location; the individual's particular combination of education, knowledge, skills, competencies, and experience; as well as contract and organizational requirements.

Salary Range: $130,000 - $155,000

Equal Employment Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, parental status, national origin, age, disability, genetic information, political affiliation, military service, or other status protected by law.

Accommodations

PFS is committed to providing equal employment opportunities to all applicants. If you require a reasonable accommodation during the application or interview process, please contact us at recruiting@pfs.us. Reasonable accommodations are available to ensure applicants with disabilities have equal access to the hiring process, in accordance with the Americans with Disabilities Act (ADA) and applicable laws.

Workplace Health, Safety, and Compliance

This position may be subject to client‑specific or government‑mandated vaccination, health, or safety requirements, which may change over time.

Texting Privacy Policy and Information:

  • Message type: Informational; you will receive text messages regarding your application and potentially regarding interview scheduling.
  • No mobile information will be shared with third parties/affiliates for marketing/promotional purposes.
  • Message frequency will vary depending on the application process.
  • Msg & data rates may apply.
  • Opt out at any time by texting "stop".

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