Data Migration Engineer
VirtuousFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have at least 3 years of experience in data science, analytics, or data engineering, preferably within a SaaS or B2B context. Proficiency in SQL and Python is essential, along with experience in designing and executing complex ETL/ELT processes, ideally using tools like Airflow. A strong understanding of data validation and transformation is also required.
The Data Scientist will collaborate with engineering and product teams to build a self-service data import agent for non-technical users. They will lead customer data migrations, ensuring accurate transitions from legacy systems to the GovWell platform. Responsibilities include building scalable data onboarding workflows using tools like Airflow and SQL, conducting discovery sessions with customers to understand their data models, and collaborating with cross-functional teams to solve data challenges. The role also involves developing internal tools to standardize data migration processes and contributing to post-migration analytics by ensuring clean data sets.
Software solutions for local government agencies
GovWell provides software solutions tailored for local government agencies in the United States. Their products include integrated modules that enhance various governmental processes such as Building and Codes, Planning and Zoning, Code Enforcement, Licenses and Permits, and Public Works. These software solutions help local governments reduce processing times, move away from paper-based systems, and make it easier for citizens to access essential services. This focus on improving efficiency sets GovWell apart from competitors who may not specialize in the public sector. The company's goal is to foster vibrant and safe communities by streamlining government operations and enhancing service delivery.