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Etl Azure Data Engineer Jobs in Virginia (NOW HIRING)

Data Engineer

Falls Church, VA · On-site

$100 - $125/hr

Certifications for Azure (AZ-900, DP-900, DP-203) * Certifications for Databricks (Data Engineer Associate) Key Responsibilities * Configure and administer enterprise-level data stores supporting ETL ...

Data Engineer Lead

Richmond, VA · On-site

$113K - $136K/yr

... ETL, copy activity, custom Azure development. • Develop and optimize data pipelines for ... DevOps, CICD Processes, Release Processes • Sound Knowledge of Azure Data Catalog, Event Grid ...

ETL Developer

Richmond, VA · On-site

$50.50 - $66/hr

ETL Developer ATLANTA, GA RICHMOND VA Hybrid Role (Look for candidates within GA, VA) • Strong working knowledge of ETL, database technologies, big data and data processing skills • 3+ years of ...

ETL Developer

Richmond, VA · On-site

$50.50 - $66/hr

As an ETL Developer, you will be responsible for data preparation jobs, data analysis, and data reporting. You will work closely with 3rd parties and government agencies to exchange data, which will ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

We are seeking to hire a Data Engineer to our team! Client: CTEC develops and delivers innovative ... Support phased data migration from legacy databases and ETL tools to Azure Databricks environments ...

ETL Developer

Herndon, VA · On-site

$52.50 - $68.75/hr

Data Analytics Oracle-BI Data Warehouse Development Programming/ software development Relational Data Modelling SQL (Structured Query Language) Qualifications Primary - Informatica-PowerCenter-ETL ...

Senior Data Engineer

Newport News, VA · On-site

$150 - $200/hr

Develop ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or other data integration ... Collaborate with Data Architects, application developers, DBAs, analysts, and visualization ...

New

Sr. Data engineer

Reston, VA · On-site

$119K - $143K/yr

Experience with Python for data engineering and ETL development. * Strong experience in SQL for ... Azure Data Engineer (DP-203), Databricks, or AWS. * Experience with real-time data streaming (Kafka ...

HOW A DATA ENGINEER ETL WILL MAKE AN IMPACT * Provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data ...

ETL AbInitio Developer

Herndon, VA · On-site

$52.50 - $68.75/hr

Company Description Position : ETL AbInitio Developer Location : Herndon , VA Duration: Long Term ... Data Warehousing - Advanced Experience with Ab Intio ETL tool

Showing results 21-40

Etl Azure Data Engineer information

What is an ETL Azure Data Engineer?

ETL Azure Data Engineers are professionals who specialize in designing, building, and maintaining data pipelines on the Microsoft Azure cloud platform using ETL (Extract, Transform, Load) processes. They collect data from various sources, transform it into a usable format, and load it into Azure-based data storage solutions such as Azure Data Lake or Azure SQL Database. Their work enables organizations to manage and analyze large volumes of data efficiently for business intelligence and analytics purposes. These engineers often use tools like Azure Data Factory, Databricks, and Azure Synapse Analytics to automate and optimize data workflows.

What are the key skills and qualifications needed to thrive as an ETL Azure Data Engineer?

To thrive as an ETL Azure Data Engineer, you need strong expertise in data integration, SQL, data modeling, and cloud computing, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, SQL Server, and ETL tools, along with relevant certifications like Microsoft Certified: Azure Data Engineer Associate, is often required. Strong problem-solving, analytical thinking, and effective communication are vital soft skills to excel in this role. These skills ensure robust, scalable data solutions that meet business needs and support informed decision-making.

What are some of the main challenges an ETL Azure Data Engineer faces when managing cloud-based data pipelines?

ETL Azure Data Engineers often encounter challenges such as optimizing data pipeline performance, ensuring data quality during large-scale migrations, and maintaining security compliance in cloud environments. They need to monitor and troubleshoot issues arising from integration between on-premises and cloud data sources. Collaboration with data architects, business analysts, and DevOps teams is essential to ensure that data solutions are scalable, reliable, and aligned with organizational goals. Staying updated on Azure services and best practices is also important to address evolving business and technical requirements.

What cities in Virginia are hiring for Etl Azure Data Engineer jobs?

Cities in Virginia with the most Etl Azure Data Engineer job openings:

Infographic showing various Etl Azure Data Engineer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Engineer

Falls Church, VA • On-site

KARTHIK CONSULTING, LLC
IT Services • 11 - 50 employees

$100 - $125/hr

Other

Posted 8 days ago


Job description

Role Summary

Karthik Consulting is seeking a talented and driven Data Engineer to join its enterprise data and cloud engineering team

Role Overview

The Data Engineer will configure and administer enterprise-level data stores, design and maintain ETL/ELT pipelines, and support batch and streaming data transport across the organization's data platforms. This role focuses on building reliable, secure data infrastructure and integrations that support enterprise reporting and analytics needs.

Technical Scope

The engineer will leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and sustain enterprise data pipelines, partnering with program and project teams using Azure DevOps and GitHub within an agile delivery model to support Azure Cloud migration efforts.

Key ResponsibilitiesRequired Skills
  • Minimum of five (5) years of professional experience configuring and administering enterprise-level data stores,
  • ETL/ELT methods, and batch and streaming data transport, including API development.
  • Hands-on understanding of data technologies to include, but not limited to, Azure Data Factory, Databricks, Oracle,
    SQL Server, and Azure Database services.
  • Proficiency working within an enterprise data management infrastructure, including Azure Cloud and cloud migration
    efforts.
  • Experience utilizing program and project management tools, such as Azure DevOps and GitHub, to plan, execute, and
    measure projects.
  • Proficiency in agile development methodologies with demonstrated experience working on agile projects.
Preferred Skills & Experience
  • Experience working with CI/CD pipelines and GitHub.
  • Experience developing and executing action plans to ensure security compliance and to respond to findings if they
    occur.
  • Certifications for Azure (AZ-900, DP-900, DP-203)
  • Certifications for Databricks (Data Engineer Associate)
Key Responsibilities
  • Configure and administer enterprise-level data stores supporting ETL/ELT methods and batch and streaming data
    transport.
  • Design, develop, and maintain APIs to support enterprise data integration needs.
  • Leverage Azure Data Factory, Databricks, Oracle, SQL Server, and Azure Database services to build and manage
    enterprise data pipelines.
  • Support enterprise data management infrastructure, including Azure Cloud environments and cloud migration
    initiatives.
  • Utilize Azure DevOps and GitHub to plan, execute, and measure project deliverables.
  • Participate in agile development processes, contributing to sprint planning, execution, and delivery.
  • Develop and execute action plans to maintain security compliance and respond promptly to findings.
QualificationsEducation

Minimum Requirement: Bachelor's degree from an accredited college or university in Computer Science, Engineering, or an applicable technical field.

Core Competencies & Traits
  • Strong analytical and problem-solving skills applied to enterprise data infrastructure and cloud environments.
  • Clear, proactive communication and cross-functional collaboration within agile project teams.
  • Commitment to continuous improvement, security compliance, and staying current with evolving data engineering
    and cloud practices.
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