Azure Data Integration Engineer

i4DM•Millersville, MD

About The Position

Support ATLAS, the VA’s open-architected, multi-cloud enterprise data management and analytics platform. Design, develop, and maintain scalable Azure-based pipelines and ETL/ELT solutions to ingest, condition, curate, and transform data from multiple sources into standardized, consumable enterprise data products. Use Azure Data Factory, Synapse, Databricks, Azure Data Lake, and related services to improve interoperability and provide consistent, secure access to trusted data. Collaborate with analysts, data scientists, product teams, enterprise users, BI developers, cloud engineers, software engineers, architects, and DevOps teams to enable analytics and AI/ML use cases and support evidence-based decisions. This hands-on role combines data integration engineering, cloud data architecture, governance, performance optimization, and analytics enablement across the ATLAS ecosystem. The engineer works as part of an Agile team and contributes to solution design, development, deployment, documentation, and ongoing operations. The role also includes developing Power BI dashboards, visualizations, and paginated reports, and ensuring compliance with cloud security practices and industry standards.

Requirements

Bachelor’s degree in computer science or a related technical field.
At least five years of practical experience in cloud application development with Microsoft Azure.
Expertise in Azure Data Factory (ADF), Synapse Analytics, Data Lake, Databricks, DAX, Power Query (M), and data modeling.
Strong SQL skills, including T-SQL, query optimization, and database performance tuning.
Experience with big data processing using Apache Spark, Python, or Scala.
Experience integrating Power BI with Azure SQL, Data Lake, and Synapse Analytics.
Understanding of ETL processes, data warehousing, and BI best practices.
Strong knowledge of Row-Level Security (RLS) and Power BI service administration.
Hands-on experience with real-time data streaming using Kafka, Event Hub, or Stream Analytics.
Familiarity with DevOps for data pipelines, CI/CD, and Infrastructure as Code such as Terraform or Bicep.
Knowledge of Azure AD authentication, security best practices, and cloud monitoring.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.
Knowledge of Agile, Scrum, and SAFe methodologies.
Careful, reliable, and detail-oriented in performing high-impact administration tasks.

Nice To Haves

Experience with Synapse Pipelines, Starburst, Azure Data Lake Service, Collibra for data cataloging, Azure ML/AI services, and Pyramid Analytics for visualization.
Microsoft Certified: Azure Data Engineer Associate (DP-203).
Microsoft Certified: Power BI Data Analyst Associate (PL-300).
Experience with CosmosDB, Delta Lake, and NoSQL solutions.
Knowledge of machine learning and AI integration with data pipelines.
Familiarity with Power BI, Looker, or Tableau for data visualization.
Knowledge of Azure architecture and services, Azure portal, Azure Government Cloud, SQL administration and reporting, APIs, application and API authorization methods, and migrating SQL schemas and data between environments.
Experience with embedded analytics and Power BI API integration.

Responsibilities

Design and implement scalable, secure, efficient data pipelines using Azure Data Factory.
Develop and optimize ETL processes to ingest, transform, and store data in Azure Data Lake, SQL, and Synapse Analytics.
Automate data ingestion from structured and unstructured sources, including APIs, databases, and IoT streams.
Build and maintain data lakes, warehouses, and lakehouses using Azure Data Lake, Synapse, and Databricks.
Optimize data storage and retrieval using Parquet, Delta Lake, and columnar storage formats.
Ensure high availability, scalability, and performance for large-scale datasets.
Implement batch and real-time streaming solutions using Azure Stream Analytics, Event Hub, and Kafka.
Use big data processing frameworks such as Apache Spark (Databricks) and HDInsight.
Integrate data from sources including SQL Server, CosmosDB, SAP, and third-party APIs.
Implement data security practices, including RBAC, Azure AD, Managed Identities, and Key Vault.
Use Purview, Data Catalog, and metadata management tools to support data governance.
Monitor and troubleshoot pipeline performance using Azure Monitor, Log Analytics, and Application Insights.
Optimize query performance in Synapse Analytics, SQL, and CosmosDB.
Automate data quality checks, anomaly detection, and alerting.
Collaborate with BI Developers and Cloud Engineers to support analytics and AI/ML use cases.
Participate in Agile/Scrum ceremonies, design reviews, technical discussions, code reviews, and sprint planning.
Document data flows, technical solutions, best practices, and architecture decisions.
Design, develop, and optimize Power BI dashboards and reports for business intelligence and analytics.
Create interactive visualizations using DAX, Power Query (M), and custom visuals.
Develop paginated reports using Power BI Report Builder.
Ensure compliance with cloud security best practices and standards including ISO 27001, GDPR, and HIPAA.
Automate deployments using Azure DevOps, GitHub Actions, and CI/CD pipelines.
Work with Cloud Engineers and DevOps teams to optimize deployment strategies.
Collaborate with software engineers, architects, and DevOps teams to build robust applications.