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Full Time Azure Data Factory Developer Jobs in Reston, VA

DLA Piper

Data Engineer

Reston, VA · On-site

$119.10K - $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 ...

Dlapiper

Data Engineer

Washington, DC

$129.70K - $155.70K/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 ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119.10K - $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 ...

MetaPhase Consulting

Data Architect

Reston, VA · On-site

$66.25 - $85.25/hr

... engineering tasks in an Azure environment. This role will provide both hands-on technical ... Design, develop and maintain Azure Data Factory object and components, Elastic Job Agents and Azure ...

ICF

Data Engineer

Reston, VA · Hybrid

$119.10K - $143K/yr

... or Azure Data Factory Preferred Qualifications: * Familiarity with streaming/real-time data ... The pay range for this position based on full-time employment is: $98,614.00 - $167,644.00 Virginia ...

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Full Time Azure Data Factory Developer information

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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:
Full Time Azure Data Factory Developer jobs near you

Azure Data Solutions Architect

Derex Tech

Washington, DC

Full-time

Posted 22 days ago

Job description

The client is seeking only nearby candidates to WASHINGTON DC area.

Job Summary
Our direct client is seeking an experienced Azure Data Solutions Architect with significant expertise in the design, development, and optimization of our enterprise level analytical data platform solutions. This top-level role will be instrumental in architecting scalable, reliable, and high-performance data systems that support critical business applications and analytics. The ideal candidate will be a data expert, capable of translating complex business requirements into robust technical solutions, mentoring junior developers, and driving data strategies across the organization.

Key Responsibilities

  • Database Architecture & Design: Lead the design and implementation of complex, scalable data architectures (relational and potentially NoSQL), including schemas, tables, views, and indexing strategies, ensuring data integrity and consistency. Responsible for designing and gaining approval on data architecture decisions, data modeling approaches, design standards, development tools and lifecycle practices that has row level security based on Azure data analytics platform.
  • Performance Optimization: Serve as the primary expert for performance tuning and optimization of all SQL queries, stored procedures, and database configurations, utilizing advanced tools (e.g., SQL Server Profiler) to identify and resolve bottlenecks in high-volume environments.
  • ETL and Data Pipelines: Architect, develop, and maintain robust ETL/ELT processes and data pipelines to facilitate data migration, transformation, and integration from various sources into data lakehouse and warehouse on Azure technology stack.
  • Technical Leadership & Mentorship: Provide technical guidance, perform code reviews, and mentor junior and mid-level developers on best practices for SQL development, data modeling, and database management.
  • Collaboration & Strategy: Work closely with senior management, data scientists, application developers, and business analysts to understand data needs, align database strategy with organizational goals, and influence the overall technology roadmap.
  • Data Governance & Security: Define and enforce database security measures, backup/recovery, and disaster recovery strategies to safeguard critical data and ensure compliance with industry regulations (e.g., GDPR, HIPAA).
  • Troubleshooting & Problem Solving: Proactively monitor and troubleshoot the most complex database issues, providing high-level support and implementing permanent solutions to ensure minimal downtime and disruption.
  • Documentation & Standards: Champion a culture of comprehensive documentation for database architectures, processes, and operational procedures to ensure knowledge sharing and maintainability.

Required Qualifications and Skills

  • Experience: 15+ years of proven experience (Master Level) of: delivering high quality, complex technology solutions in commercial and government organizations; delivering state-of-the-art data analytics platforms and enterprise applications; working with SQL, SSRS, SSIS, SSAS, Azure Data Factory, Databricks, Python, and DAX; and senior level understanding of health care management systems; and working with senior executives.
  • Technical Expertise: Deep expertise in one or more major DBMS platforms (e.g., Microsoft SQL Server, Oracle, PostgreSQL, MySQL) and advanced T-SQL/PL-SQL programming.
  • Data Technologies: Proficiency with data modeling (dimensional, star/snowflake schemas), ETL tools (SSIS, Informatica), and cloud-based data platforms (AWS RDS, Azure SQL, etc.).
  • Architecture Skills: Strong understanding of database architecture principles, high availability solutions (clustering, replication), and capacity planning.
  • Soft Skills: Exceptional analytical and complex problem-solving abilities, excellent communication skills for technical and non-technical audiences, and a proactive, leadership-oriented mindset.
  • Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a highly quantitative field, or equivalent experience.

Preferred: Relevant industry certifications (e.g., Microsoft Certified: Azure Database Administrator Associate), experience with Big Data technologies (Spark, Hadoop), and DevOps practices (CI/CD, Terraform).