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Full Time Azure Data Factory Developer Jobs in Reston, VA

Power BI Data Engineer

Arlington, VA · On-site

$130.80K - $157.10K/yr

Power BI Data Engineer Reports To: Data Analytics Director Location: Hybrid About Us Paradigm Max Q ... Develop and manage data integration workflows using tools such as Azure Data Factory, SSIS, or ...

Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Proficiency in programming languages such as Python, Java, or Scala. * Strong experience with ETL/ELT processes and tools (Apache Spark, Airflow, Informatica, Talend, Azure Data Factory, etc.

... requirements for Azure Data Factory and Databricks. • Map raw MMIS schemas to target Data ... DevOps for project tracking • 5+ years of industry certification or training in relevant IT ...

JR Software Developer

Chantilly, VA

$65.50K - $85K/yr

Seeking a highly motivated, self-directed professional to fill a Software Developer role in ... Azure Data Factory. * Experience with containerization technologies (e.g. Docker) * Experience ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud ...

Data QA Engineer

Bethesda, MD · On-site

$122.20K - $146.80K/yr

... DB, Data Factory, Synapse, Azure Data Lake, etc * Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps/VSTS, Git). Additional Information All your ...

Data QA Engineer

Bethesda, MD · On-site +1

$122.20K - $146.80K/yr

... DB, Data Factory, Synapse, Azure Data Lake, etc * Familiarity with Agile software delivery including application lifecycle mgmt (Jira/Azure DevOps/VSTS, Git). Additional Information All your ...

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Full Time Azure Data Factory Developer information

See Reston, VA salary details

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$83

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

As of May 31, 2026, the average hourly pay for full time azure data factory developer in Reston, VA is $60.76, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $68.27 per hour, depending on experience, location, and employer.

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

To thrive as a Full Time Azure Data Factory Developer, you need expertise in data integration, ETL processes, SQL, and a strong understanding of Azure cloud services, typically supported by a degree in computer science or a related field. Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and troubleshooting complex data workflows. These competencies ensure secure, efficient, and scalable data solutions that drive business intelligence and analytics initiatives.

What are some common challenges Full Time Azure Data Factory Developers face when integrating data from multiple sources?

Full Time Azure Data Factory Developers often encounter challenges such as handling varying data formats, ensuring data consistency, and managing real-time versus batch data loads when integrating information from multiple sources. Additionally, troubleshooting pipeline failures and optimizing data flows for performance can require strong problem-solving skills. Collaboration with data architects, database administrators, and business analysts is crucial to address these challenges and ensure that data integration processes align with organizational goals.

What does a Full Time Azure Data Factory Developer do?

A Full Time Azure Data Factory Developer is responsible for designing, developing, and maintaining data integration solutions using Microsoft Azure Data Factory. They build and manage data pipelines to extract, transform, and load (ETL) data from various sources into cloud-based data storage or analytics platforms. Their role involves collaborating with data engineers, analysts, and other stakeholders to ensure efficient and reliable data workflows. They also optimize data processes to enhance performance, troubleshoot issues, and ensure security and compliance standards are met.

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

AspectFull Time Azure Data Factory DeveloperData Engineer
Primary FocusDesigning, developing, and maintaining data pipelines using Azure Data FactoryBuilding, optimizing, and managing data infrastructure and pipelines across various platforms
Required SkillsAzure Data Factory, SQL, ETL processes, cloud servicesSQL, Python, Spark, cloud platforms, data modeling
CertificationsAzure Data Engineer Associate, Azure certificationsGoogle Cloud, AWS, or Azure certifications, depending on platform
Work EnvironmentCloud-based data projects within organizations using AzureBroader data infrastructure projects across multiple platforms

While both roles involve data pipeline development, the Full Time Azure Data Factory Developer specializes in Azure Data Factory and cloud-based ETL processes, whereas the Data Engineer has a broader scope, working with various tools and platforms to build comprehensive data solutions.

What are the most commonly searched types of Azure Data Factory Developer jobs in Reston, VA? The most popular types of Azure Data Factory Developer jobs in Reston, VA are:
What are popular job titles related to Full Time Azure Data Factory Developer jobs in Reston, VA? For Full Time Azure Data Factory Developer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Full Time Azure Data Factory Developer jobs in Reston, VA look for? The top searched job categories for Full Time Azure Data Factory Developer jobs in Reston, VA are:
Data Analytics Engineer - Network Data Solutions

Data Analytics Engineer - Network Data Solutions

Zayo Group, LLC

Ashburn, VA • On-site

$77.10K - $118.60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Company Description
Zayo provides mission-critical bandwidth to the world's most impactful companies, fueling the innovations that are transforming our society. Zayo's 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo's communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.
We're looking for an Analytics Engineer to join our Network Data Solutions team. In this role, you will combine deep telecom data expertise with technical acumen and problem-solving skills to design and deliver high-quality data products that enable our network and engineering teams to make informed, data-driven decisions.
You'll work closely with network operations, engineering, and technology partners to understand their needs, document requirements, and translate them into scalable data solutions. You'll also analyze existing processes and data pipelines to identify improvement opportunities - proposing smarter, faster, and more reliable ways to deliver insights that drive network performance, reliability, and operational efficiency. You will leverage your expertise in data design, data engineering (ETL/ELT), and business intelligence to develop solutions from beginning to end.
NOTE: The team is open to this position working remotely within the United States.
Key Responsibilities
  • Partner with network and technology stakeholders to understand business objectives, challenges, and data requirements across areas such as network performance, reliability, capacity, and customer experience.
  • Develop and maintain deep knowledge of telecom data domains and source systems, including network inventory, provisioning, assurance, fault, and performance data.
  • Lead the creation of BTS (BRD Technical Specification) documentation, translating business logic into clear technical solutions.
  • Design, build, and maintain robust data products that support operational and strategic reporting - from ingestion through transformation, modeling, and visualization.
  • Evaluate existing data processes and models to identify opportunities for standardization, optimization, and automation.
  • Propose and implement innovative solutions that improve data accessibility, quality, and usability for network teams.
  • Develop scalable data models using dbt and Snowflake aligned to modern data architecture principles.
  • Build and orchestrate ETL/ELT pipelines in Azure Data Factory and Microsoft Fabric, ensuring efficiency and reliability.
  • Write and optimize SQL and Python code for advanced data manipulation, automation, and validation.
  • Facilitate UAT (User Acceptance Testing) with business partners to ensure data solutions align with real-world operational needs.
  • Design and deliver dashboards and reports using Power BI, Sigma, and Tableau that translate complex network data into actionable insights.
  • Collaborate with data engineers, analysts, and architects to maintain alignment across the broader data ecosystem.
  • Serve as a subject matter expert (SME) for network-related data and analytics, mentoring others on telecom-specific concepts, sources, and logic.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Telecommunications, or a related field (or equivalent experience).
  • Minimum of five (5) years of experience in analytics engineering, data engineering, or BI roles - preferably supporting telecom or network operations.
  • Strong proficiency in SQL, Snowflake, dbt, and Python for data transformation and automation.
  • Hands-on experience with Azure Data Factory and Microsoft Fabric for pipeline orchestration and data lakehouse management.
  • Advanced experience building and optimizing Power BI, Sigma and/or Tableau dashboards.
  • Deep understanding of telecom data domains, including (examples you can customize):

- Network inventory and topology systems (e.g., NMS, OSS, GIS)
- Fault, performance, and capacity management data
- Provisioning, activation, and service assurance systems
  • Proven ability to analyze complex business problems, identify gaps in existing processes, and propose scalable data solutions.
  • Strong communication and documentation skills, with the ability to bridge business and technical perspectives.

Preferred Skills:
  • Familiarity with CI/CD tools (e.g., GitHub, Azure DevOps).
  • Experience implementing data quality frameworks and metadata management practices.
  • Background in network engineering analytics, service performance monitoring, or customer experience analytics.
  • Knowledge of telecom industry KPIs and metrics (e.g., uptime, MTTR, capacity utilization, throughput, etc.).

Estimated base salary range: $77,100 - $118,600 USD/annually
The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan.
Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
Benefits, Rewards & Wellness
  • Excellent Health, Dental & Vision Insurance
  • Retirement 401(k) Savings Plan
  • Generous paid time off policy including paid parental leave

Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.