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Trainee Azure Data Factory Developer Jobs in Vienna, VA

Raye IT Consulting

Cloud Engineer

Washington, DC · Hybrid

$63.25 - $84.50/hr

Work with ETL operations using Azure Data Factory across different platforms. Qualifications * Bachelor's degree in information technology, software engineering, computer science, or related field ...

Hirekeyz Inc

ETL Data Integration Engineer

Fairfax, VA · On-site

Design and implement ETL pipelines using cloud-native services (e.g., AWS Glue, Azure Data Factory ... Collaborate with data engineers, architects, and business analysts to deliver robust data solutions.

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 ...

Ignite Digital

Mid Data Engineer

Washington, DC · Hybrid

$129K - $155K/yr

AWS Glue, Google Cloud Dataflow, Azure Data Factory). * Familiarity with Databricks, Palantir ... Data engineering certification (e.g. Azure, Google, IBM, Palantir). * Experience working with ...

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud * Understanding of data models, large datasets, business/technical ...

Cloudforce

Cloud Engineer - Data

National Harbor, MD

$100K - $140K/yr

... using Azure DevOps or GitHub. * Collaborate with cross-functional teams to understand data ... Proficiency in Azure cloud services, including Azure Data Factory, Azure Databricks, Azure SQL ...

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$11

$58

$80

How much do trainee azure data factory developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for trainee azure data factory developer in Vienna, VA is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $65.87 per hour, depending on experience, location, and employer.

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Trainee Azure Data Factory Developer jobs near you
Infographic showing various Trainee Azure Data Factory Developer job openings in Vienna, VA 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 $121,926 per year, or $58.6 per hour.

Cleared Data Engineer

Accenture Federal Services

Washington, DC • On-site

$129K - $155K/yr

Full-time

Re-posted 16 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 495 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives. The Cleared Data Engineer will design and maintain scalable data pipelines, develop efficient data processing workflows, and collaborate with cross-functional teams to implement data solutions that meet business objectives.
Responsibilities:
• Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
• Develop efficient data processing and transformation workflows to support analytics and reporting needs.
• Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
• Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
• Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
• Contribute to data governance, security, and automation initiatives within the data ecosystem.
• Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.
Qualifications:
Required:
• Experience with cloud-based ETL services (e.g. 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 PySpark
• Experience with data platforms like Databricks, Palantir, and Snowflake
• Familiarity with data orchestration and data quality processes
• Active Top Secret or TS/SCI or TS/SCI with polygraph clearance
Preferred:
• Experience working with federal clients
• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
• Experience with Agile / Scrum
• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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