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Junior Azure Data Factory Developer Jobs in Virginia

Azure Solution Architect

Richmond, VA · On-site

$62.75 - $82/hr

... Factory, Azure Data Lake Experience in SaaS (Software as a Service) architecture Experience with integration architecture and proven work experience with Agile/Scrum teams Experience with ...

PCA Data Engineer

Richmond, VA

$113K - $136K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

Hands-on experience with Azure Data Services including Azure Data Factory (ADF), Azure Data Lake ... Exposure to Azure DevOps, CI/CD pipelines, and Infrastructure-as-Code practices. * Experience ...

... junior staff. You are accountable for confirming project success and maintaining standards ... Azure Data Factory to enhance data engineering capabilities - Leading teams in the strategic ...

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Data Engineer

Reston, VA

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

ETL Developer

Chantilly, VA · On-site

$52.25 - $68.25/hr

Overview The ETL Developer is responsible for designing, developing, and maintaining robust data ... Proficiency in ETL tools (Informatica, Talend, SSIS, AWS Glue, or Azure Data Factory). * Strong SQL ...

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Junior Azure Data Factory Developer information

What does a Junior Azure Data Factory Developer do?

A Junior Azure Data Factory Developer assists in designing, developing, and maintaining data integration solutions using Azure Data Factory (ADF). Their primary role is to build and manage data pipelines that extract, transform, and load (ETL) data from various sources into cloud-based data warehouses or storage solutions. They work closely with senior developers and data engineers to automate data workflows, troubleshoot issues, and ensure data is processed efficiently and securely. Additionally, they may write basic code, monitor pipeline performance, and help document processes as part of a larger data team.

What is the difference between Junior Azure Data Factory Developer vs Data Engineer?

AspectJunior Azure Data Factory DeveloperData Engineer
Required CredentialsBasic knowledge of Azure, certifications like Azure Data Engineer Associate helpfulBroader certifications like Azure Data Engineer, AWS, or GCP certifications often preferred
Work EnvironmentFocus on designing and developing data pipelines using Azure Data Factory in cloud environmentsDesigning, building, and maintaining scalable data systems across various platforms and tools
Employer & Industry UsageCommon in companies adopting Azure cloud solutions, especially in data-driven rolesWidespread across industries for managing large-scale data infrastructure

The Junior Azure Data Factory Developer primarily focuses on creating data pipelines within Azure using Data Factory, often as an entry-level role. In contrast, a Data Engineer has a broader scope, working with multiple tools and platforms to build comprehensive data systems. While both roles require knowledge of cloud data solutions, Data Engineers typically possess more advanced certifications and experience, handling complex data architecture tasks across various environments.

What are the key skills and qualifications needed to thrive as a Junior Azure Data Factory Developer, and why are they important?

To thrive as a Junior Azure Data Factory Developer, you need a solid understanding of data integration concepts, ETL processes, and a background in computer science or a related field. Familiarity with Microsoft Azure, especially Azure Data Factory, as well as proficiency in SQL, and knowledge of data storage solutions are typically required, with Azure certifications (like Azure Data Engineer Associate) being advantageous. Strong problem-solving skills, attention to detail, and effective communication help you collaborate within teams and resolve data-related challenges efficiently. These skills and qualifications are crucial for building robust data pipelines, ensuring data quality, and supporting analytics initiatives in cloud-based environments.

What are some common challenges faced by a Junior Azure Data Factory Developer, and how can they be addressed?

Junior Azure Data Factory Developers often encounter challenges such as troubleshooting complex data pipelines, managing data integration from diverse sources, and optimizing performance for large-scale data processing. To address these, it's important to become familiar with Azure's monitoring and debugging tools, maintain clear documentation, and collaborate closely with data engineers and business analysts. Seeking mentorship from senior developers and participating in regular code reviews can also help accelerate learning and build confidence in managing production workloads.
What are the most commonly searched types of Azure Data Factory Developer jobs in Virginia? The most popular types of Azure Data Factory Developer jobs in Virginia are:
What are popular job titles related to Junior Azure Data Factory Developer jobs in Virginia? For Junior Azure Data Factory Developer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Junior Azure Data Factory Developer jobs in Virginia look for? The top searched job categories for Junior Azure Data Factory Developer jobs in Virginia are:
SR Azure Data Factory with SSIS- Remote

SR Azure Data Factory with SSIS- Remote

Cognizant Technology Solutions

Norfolk, VA • On-site, Remote

$130K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Cognizant rating

7.4

Company rating: 7.4 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

41st of 58 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.
Unfortunately, no visa transfer / sponsorship available for this role
Full time
Job Summary
Remote
Experience: 8+ Years
Job Summary
Job Description - Azure Data Engineer (ADF + SSIS)
Role Summary
We are seeking a skilled Azure Data Engineer with strong experience in Azure Data Factory (ADF) and SSIS to design, develop, and optimize scalable ETL/ELT data pipelines. The role will support enterprise data warehouse and cloud modernization initiatives.
Primary Responsibilities
  • Design and develop ETL/ELT pipelines using Azure Data Factory (ADF) and SSIS
  • Build and manage data integration workflows across multiple sources (SQL Server, APIs, flat files, cloud storage)
  • Migrate and modernize legacy SSIS packages to Azure Data Factory pipelines
  • Develop and maintain data pipelines from Azure Data Lake / blob storage
  • Implement incremental data loads, scheduling, and orchestration
  • Optimize data pipelines for performance, scalability, and cost efficiency
  • Work with stakeholders for requirement gathering, data validation, and UAT
  • Ensure data quality, integrity, and governance across pipelines
  • Support CI/CD deployments using Azure DevOps
  • Troubleshoot pipeline failures and production issues

Required Skills & Experience
  • 8-10 years of experience in Data Engineering / ETL
  • Strong hands-on experience in:
    • Azure Data Factory (ADF)
    • SQL Server Integration Services (SSIS)
    • T-SQL (stored procedures, performance tuning)
  • Expertise in data warehousing concepts (fact/dimension, star schema)
  • Experience with Azure components:
    • Azure Data Lake / Blob Storage
    • Azure SQL / Synapse
  • Strong understanding of:
    • Data pipelines, transformations, orchestration
    • Data modeling and ETL design principles
  • Experience with data migration to cloud (Azure)
  • Experience with Pyspark/python

Nice to Have
  • Experience with Azure Databricks
  • Exposure to Power BI / reporting tools
  • Experience in SSIS to ADF migration projects
  • Knowledge of CI/CD, Git, Azure DevOps

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Salary and Other Compensation:
Applications will be accepted until 7/15/2026
The annual salary for this position is between $130,000 - $140,000 depending on experience and other qualifications of the successful candidate.
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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