Description Overview :
The Data Solutions Engineer II takes ownership of mid-sized customer data integration projects.
This role demands autonomy in designing and implementing ETL solutions, coordinating with cross-functional teams, and ensuring successful delivery of scalable and optimized data solutions for government clients.
Key Responsibilities :
- Lead end-to-end implementation of data integration workflows using Python, SQL, and ETL tools.
- Design efficient data pipelines that handle large volumes of structured and semi-structured data.
- Collaborate with product, engineering, and client success teams to translate business requirements into technical data models.
- Troubleshoot data quality and performance issues in migration and integration environments.
- Create automation scripts to streamline repetitive data migration tasks.
- Guide and support junior engineers in code reviews, debugging, and technical upskilling.
- Participate in the continuous improvement of data integration frameworks and methodologies.
- Maintain comprehensive documentation of integration architecture and process flows.
Required Skills and Experience
5+ years in data engineering, ETL, or professional services implementation roles.Strong expertise in Python, SQL scripting, and data mapping.Hands-on experience with database systems such as PostgreSQL, MySQL, or MS SQL Server.Proficiency in designing ETL workflows and working with SaaS APIs.Solid understanding of data governance, normalization, and data integrity principles.Familiarity with cloud-based solutions (AWS, Azure, or GCP) and Agile delivery frameworks(ref : hirist.tech)