Data Engineer Azure

Requirements:

• Bachelors degree in information technology, a related discipline, or equivalent practical experience
• Strong command of ETL development, including complete pipelines that ingest data from multiple source systems
• Proven ability to gather and document requirements for data extraction, transformation, and loading workflows
• Solid understanding of data warehousing, data lake, business intelligence, and information management concepts and standards
• Ability to advise internal and external stakeholders on suitable tools and systems for complex data-processing challenges
• Advanced knowledge of SQL for relational databases
• Experience working with multiple data formats, including Oracle, SQL, Postgres, DB2, CSV, XML, Parquet, and AVRO
• Experience contributing to enterprise data governance standards through accuracy, consistency, security, and reliability
• Strong experience with Microsoft Azure technologies such as Azure Data Factory, Synapse, SQL Database, Data Lake Storage Gen2, and Blob Storage
• Experience with data integration and pipeline tools such as Informatica PowerCenter, Apache NiFi, Apache Airflow, and FME
• Experience with visualization and reporting tools such as MicroStrategy, Tableau, and Esri ArcGIS
• Strong oral and written communication skills
• Ability to provide excellent customer service to external partners
• Ability to work independently and collaboratively within a larger team
• Experience working with Databricks

Responsibilities:

• Analyze, design, develop, implement, replicate, and support complex enterprise data initiatives
• Work with other agencies and consult with user departments on system requirements, environment constraints, and operational challenges
• Use cloud-based solutions to resolve issues and develop future enhancements to our data systems
• Build and maintain ETL solutions using tools such as Azure Data Factory, Synapse, Databricks, and Informatica
• Establish cloud and on-premises connectivity across systems such as ADLS, ADF, Synapse, and Databricks
• Create end-to-end data pipelines that load information from multiple sources into landing layers or SQL tables
• Develop, standardize, and optimize existing data workflows and pipelines in line with best practices
• Support enterprise data governance by ensuring data accuracy, consistency, security, and reliability
• Automate, monitor, alert on, and manage data pipelines and workflows
• Assess system changes for feasibility and recommend alternatives, backup plans, and rollback procedures
• Develop new systems, upgrades, and enhancements while maintaining approved standards and consistency
• Write complex programs and reports using database query languages
• Demonstrate technical and functional expertise in a specialized area and communicate it clearly
• Identify improvements to project standards to deliver high-quality services and products
• Coordinate programming activities and collaborate with application development teams when needed
• Work with business and technical personnel to resolve issues related to intent, accuracy, and feasibility
• Develop business process and programming solutions based on guidance from business and technical stakeholders
• Apply best practices and standards for product use
• Provide support and design for industry-specific applications that integrate with statewide systems or applications
• Interact with executive-level business users and technical experts
• Serve as a niche technical subject matter expert on large and complex implementations

Technologies:

• Airflow
• Azure
• Business Intelligence
• Cloud
• Databricks
• ETL
• Informatica
• Support
• Oracle
• SQL
• Security
• Tableau
• XML
• Matrix
• Python

More

We are seeking an ETL Data Engineer for a 6-month assignment in Washington, DC 20003. The role focuses on complex enterprise data projects, cloud and on-premises integration, and advanced ETL development across Azure-based platforms and related data tools. We work with large-scale systems, support data governance, and collaborate closely with internal and external stakeholders to deliver reliable, secure, and high-quality data solutions.

last updated 43 week of 2026