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Azure Data Factory Jobs in Washington (NOW HIRING)

Core Interface

ETL Developer

Chantilly, VA · On-site

$52.25 - $68.25/hr

Experience with cloud data platforms ( AWS Glue/S3, Azure Data Factory/Synapse, Snowflake, Databricks ) * Experience with Apache Spark or similar distributed processing frameworks * Experience with ...

Ignite Digital

Mid Data Engineer

Washington, DC · Hybrid

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory). * Familiarity with Databricks, Palantir, Snowflake, and data warehousing technologies. * Strong understanding of data orchestration and quality ...

MDAEdge

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

... logic into Azure Data Factory (ADF) and Databricks notebooks. • Facilitate migration of source control and CI/CD pipelines from TFS to Azure DevOps (Git). • Build and tune Dedicated and ...

Schnabel

Data Engineer

Sterling, VA · On-site

Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or Microsoft Fabric pipelines) * Support the creation of a centralized enterprise data warehouse / Lakehouse

Schnabel

Data Engineer

Sterling, VA

$105K - $135K/yr

Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or Microsoft Fabric pipelines) * Support the creation of a centralized enterprise data warehouse / Lakehouse

Schnabel

Data Engineer

Sterling, VA · On-site

$105K - $135K/yr

Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or Microsoft Fabric pipelines) * Support the creation of a centralized enterprise data warehouse / Lakehouse

TLA-LLC

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Strong experience with ETL/ELT processes and tools (Apache Spark, Airflow, Informatica, Talend, Azure Data Factory, etc.). * Familiarity with big data technologies (Hadoop, Spark, Kafka) and cloud ...

TLA-LLC

Data Architect

Mclean, VA

$64.50 - $83/hr

Strong experience with ETL/ELT processes and tools (Apache Spark, Airflow, Informatica, Talend, Azure Data Factory, etc.). * Familiarity with big data technologies (Hadoop, Spark, Kafka) and cloud ...

MDAEdge

Medicaid Data Systems Analyst

Washington, DC · On-site

... for Azure Data Factory and Databricks. • Map raw MMIS schemas to target Data Warehouse formats for BI tools. Qualifications : Required : • bachelor's degree • 5+ years of relevant experience ...

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How much do azure data factory jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for azure data factory in Washington 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 an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

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

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are popular job titles related to Azure Data Factory jobs in Washington? For Azure Data Factory jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Azure Data Factory jobs in Washington look for? The top searched job categories for Azure Data Factory jobs in Washington are:
Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $137,584 per year, or $66.1 per hour.

ETL Developer

Core Interface

Chantilly, VA • On-site

$52.25 - $68.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

ETL Engineer - TS/SCI with Polygraph Required
About the Team
At Core Interface, we believe great software is built by small teams of thoughtful engineers working on meaningful problems. Our work supports mission-critical federal programs where the quality and reliability of the data layer directly determines mission outcomes.
We're growing our data engineering team and are looking for ETL-focused engineers across multiple experience levels who take real ownership of the data lifecycle - from ingest through delivery - and communicate clearly about architecture tradeoffs.
What You'll Do in This Role
  • Design, build, and optimize ETL pipelines for large-scale data ingestion and transformation
  • Develop custom solutions to ingest, profile, and exploit new and existing data sources
  • Collaborate with data scientists and analysts to support model development and analytical workflows
  • Maintain comprehensive data layer documentation for the broader engineering team
  • Manage all stages of the data lifecycle from ingest planning through display
  • Collaborate with teammates, service providers, vendors, and mission users to develop more efficient methods
  • Identify and communicate risks, constraints, and tradeoffs in data architecture decisions

Required Qualifications
  • Active TS/SCI with Polygraph
  • U.S. Citizenship
  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • Strong Python and/or Java development skills with significant SQL and database experience
  • Hands-on experience building ETL pipelines in a Linux-based Big Data environment
  • Experience parsing using Regular Expressions
  • Experience with interacting with the ELK Stack
  • Familiarity with RESTful API integration and data source consumption
  • Clear communication skills in collaborative engineering environments

Additional Strengths That Stand Out
  • Experience with cloud data platforms (AWS Glue/S3, Azure Data Factory/Synapse, Snowflake, Databricks)
  • Experience with Apache Spark or similar distributed processing frameworks
  • Experience with pipeline orchestration tools such as Apache Airflow or equivalent
  • Experience with Hadoop, HBase, and MapReduce
  • Prior work in a mission environment or with diverse, complex data types
  • Containerization experience with Docker and/or Kubernetes
  • Prior experience supporting AI/ML pipeline development or deployment

Core Interface Benefits
We support our engineers with benefits designed for long-term success:
  • 100% employer-paid medical, dental, and vision (employee + family)
  • 401(k) with 6% company contribution
  • 4 weeks PTO plus 11 federal holidays
  • Paid parental leave
  • Government shutdown protection
  • Tuition assistance and technical training
  • Internet, phone, and fitness reimbursements
  • Referral bonuses and spot awards
  • Quarterly team events

Commitment to Inclusion
Core Interface is an Equal Opportunity / Affirmative Action employer committed to building a workplace where everyone can contribute and grow. All qualified applicants will receive consideration for employment without regard to protected status under applicable law.

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