Apollo ITS
Job Title: Data Analyst/Engineer
Location: Richmond, VA (Remote)
Duration: 6+ Months
Interview: In Person Only
**REMOTE**
**MUST COME ON DAY 1 TO PICKUP EQUIPMENT**
**CANDIDATES SHOULD RESIDE IN VIRGINIA**
Job Description :
The client is seeking a skilled data engineer with a minimum of 3 years' experience to work with an existing software development team on an ongoing project.
Skills:
Location: Richmond, VA (Remote)
Duration: 6+ Months
Interview: In Person Only
**REMOTE**
**MUST COME ON DAY 1 TO PICKUP EQUIPMENT**
**CANDIDATES SHOULD RESIDE IN VIRGINIA**
Job Description :
The client is seeking a skilled data engineer with a minimum of 3 years' experience to work with an existing software development team on an ongoing project.
- This position will support the design and delivery of secure, scalable, and traceable data pipelines in Azure, with a focus on integrating and transforming sensitive, public-facing datasets.
- The candidate will build ingestion workflows and transformation logic to support reporting, analytics, and public transparency initiatives.
- This role requires experience with Azure-native tools, strong ETL/ELT capabilities, and a strong commitment to data quality, auditability, and responsible data use.
- The candidate will be working with an existing software development team in an Agile/Scrum environment.
Skills:
- t 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.
- bility 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. (Nice to have)