About the role
PayIt is a fast-growing GovTech company on a mission to modernize how residents interact and transact with government, improving the customer experience and helping our client agencies more efficiently and effectively achieve their missions. Our easy-to-implement platform consolidates government services and payments into one connected experience and enables our clients to drive resident trust, collect revenue quickly, and redeploy their staff to more important challenges. This innovative approach to government service delivery has garnered significant recognition in both the public and private sectors, including our inclusion in the GovTech 100 every year since 2017. PayIt solutions cover services including hunting and fishing licensing, DMV, courts, property tax, utilities, tolling, and more. Our culture welcomes people who exhibit what we call “PayIt DNA”: High integrity, drive, grit, high aptitude, and team orientation. We are collaborative and passionate about the work we do to improve the lives of our government clients and the end users they serve. We have ambitious scaling goals, and we look for team members who are ready to roll up their sleeves, solve problems, and find new opportunities to win with our clients. And we have a lot of fun together. In this position you will work closely with other Data Engineers on your team, and members of the broader Engineering organization, to ensure that the business has access to high quality, accurate data via multiple channels (reporting, data visualization tools, data warehouse, BI tools, etc). Other duties as necessary. What You’ll Need to Have: Strong SQL experience and proven expertise handling large volumes of data, including data modeling with dbt Expertise in Python with a working knowledge of test-driven development Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure Experience with RDBMS, NoSQL and Cloud data storage technologies - AWS DocumentDB, MongoDB, Postgres and Snowflake experience preferred Experience with building ETL solutions and transforming data between different types of sources Experience with modern, Python-based data orchestration tools like Dagster, Prefect or Airflow Experience building solutions for analytical reporting and business intelligence Experience with a data visualization tool such as Tableau, Apache Superset or Looker Experience building or working on reconciliation systems that compare data from multiple sources for verification.
