Job description

Mode of Interview: Web Cam Interview Only Work Location: Richmond, VA Work Arrangement: Remote Shift: EST Applicant must have 4 Years of experience with the following. • At least 3 years of experience building and maintaining ETL/ELT pipelines in enterprise environments using Azure-native tools. • Hands-on expertise with Azure Data Factory, Dataflows, Synapse Pipelines, or similar orchestration tools. • Proficiency in SQL, Python, or PySpark for transformation logic and data cleansing workflows. • Experience with Delta Lake, Azure Data Lake Storage Gen2, JSON, and Parquet formats. • Ability to build modular, reusable pipeline components using metadata-driven approaches and robust error handling. • Familiarity with public data sources, government transparency datasets, and publishing workflows. • Knowledge of data masking, PII handling, and encryption techniques to manage sensitive data responsibly. • Experience with data quality frameworks, including automated validation, logging, and data reconciliation methods. • Strong grasp of DevOps/DataOps practices, including versioning, testing, and CI/CD for data pipelines. • Experience supporting data publishing for oversight, regulatory, or open data initiatives is highly desirable. • Certifications such as DP-203 (Azure Data Engineer Associate) or Azure Solutions Architect are a plus.

Requirements