Data Engineer

CACI International•Arlington, VA

1d•$103,800 - $218,100•Onsite

About The Position

CACI is seeking a Data Engineer with strong hands-on experience designing, developing, and supporting enterprise data platforms in Microsoft Azure. The ideal candidate combines deep data engineering and ETL/ELT expertise with broad knowledge of cloud-based data architecture and Azure-native data, integration, processing, application, and security services. The successful candidate will have experience working across enterprise data platforms, with a strong understanding of data architecture, data modeling, data integration, ETL/ELT, data pipelines, data quality, and data governance. Experience designing and implementing these capabilities in cloud environments is essential, with Azure experience being a key focus. We are looking for a data engineer who can do more than develop pipelines—the ideal candidate understands data architecture, integration patterns, cloud security, governance, troubleshooting, and the end-to-end operation of an enterprise data platform.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience.
7+ years of experience in data engineering, data architecture, data integration, or ETL/ELT.
Strong understanding of data architecture, data modeling, data warehousing, data lakes, and data integration patterns.
Experience designing and implementing data solutions in cloud environments.
Strong SQL skills and experience with relational databases and data warehousing.
Hands-on experience developing and supporting ETL/ELT pipelines and data integration solutions.
Hands-on experience with Microsoft Azure data services, including: Azure Synapse Analytics, Azure Data Factory / Synapse Pipelines, Azure Data Lake Storage Gen2, Azure Functions and/or Logic Apps, Azure SQL Database.
Experience integrating data from multiple enterprise sources, including databases, APIs, files, and applications.
Understanding of cloud security concepts including RBAC, managed identities, Key Vault, private endpoints, and Entra ID.
Experience troubleshooting and supporting production data solutions.

Nice To Haves

Skilled in Azure Event Hubs and real‑time data processing.
Proficient with Cosmos DB and NoSQL data architectures.
Knowledgeable in Microsoft Purview, including data governance and lineage capabilities.
Capable of working with Self‑Hosted Integration Runtime and hybrid data integration patterns.
Familiar with Azure App Service, Power BI, and Azure Machine Learning.
Adept in Python, PySpark, or comparable data engineering languages.
Competent with Azure DevOps, Git, CI/CD practices, and automated deployment pipelines.
Strong understanding of Azure Monitor and Application Insights for observability and performance monitoring.

Responsibilities

Design and develop enterprise-scale data pipelines and ETL/ELT solutions.
Develop data architectures supporting batch, real-time, and event-driven processing.
Design data models, data flows, integration patterns, and data storage solutions.
Integrate data from databases, APIs, files, applications, and enterprise systems.
Develop and support Azure data solutions using Synapse, Data Factory, ADLS Gen2, Functions, Logic Apps, and Event Hubs.
Implement data solutions using Azure SQL Database and Cosmos DB.
Support data governance, cataloging, classification, and lineage.
Implement secure data solutions using RBAC, managed identities, Key Vault, private endpoints, and Entra ID.
Monitor, troubleshoot, and optimize data pipelines and production data services.
Collaborate with architects, developers, analysts, cybersecurity teams, and business stakeholders.
Apply enterprise standards for security, compliance, data quality, and governance.