Data Warehouse/BI Developer 2

Location: Richmond, Virginia, USA

Duration: 7 Months (Remote)

Visa Status: USC, GC, GCEAD, H1B, C2C

Job Description:

This position will work in an Agile/Scrum development environment with an existing data and analytics team to design, develop, test, and support solutions that enable data-driven decision-making across the agency. The candidate will lead and contribute to the design and implementation of scalable data warehouse and business intelligence systems, applying principles and techniques of data architecture, integration, and analytics. The position requires experience with cloud-native data warehousing platforms, ETL development, and a strong understanding of enterprise data management best practices.



• Required 3 Years At least 3 years of hands-on experience designing, developing, and supporting enterprise data warehouse and business intelligence solutions.
• Required 3 Years Strong proficiency with ETL/ELT tools such as SQL Server Integration Services (SSIS) and Azure Data Factory
• Required 3 Years Experience working with cloud-based data platforms such as Azure Synapse Analytics or Microsoft Fabric.
• Required 3 Years Proficiency in SQL development, including writing complex queries, stored procedures, views, and optimizing performance for large datasets.
• Required 3 Years Experience building and maintaining star schema data models, fact and dimension tables, and metadata documentation.
• Required 3 Years Experience with data visualization and reporting tools, especially Power BI Service.
• Required 3 Years Strong understanding of data governance, quality, and lineage principles.
• Required 3 Years Experience integrating data from diverse structured and semi-structured sources including relational databases, flat files, APIs, and cloud storage.
• Required 3 Years Familiarity with source control and DevOps practices, including CI/CD pipelines for data integration workflows.
• Required 3 Years Strong analytical and troubleshooting skills for diagnosing data anomalies, ETL failures, and performance bottlenecks.
• Required 3 Years Demonstrated ability to collaborate with business stakeholders to translate requirements into technical specifications and data pipelines.
• Required 3 Years Strong communication skills, both written and verbal, for documenting data models, workflows, and data contracts.
• Required 3 Years Experience working in Agile/Scrum or DevOps environments.
• Required 3 Years Microsoft certifications such as Azure Data Engineer Associate (DP-203) or SQL Server certifications are highly desirable.
• Highly desired 3 Years Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field is highly desirable.