Come work on engineering problems at scale that benefit all of our lives!! PayIt's platform has helped over 80 million US citizens. We make things like paying a parking ticket, getting a driver's license renewed, or paying property taxes quick, mobile, and efficient.

We're coming off of another record year! We're a funded company, in scale-up mode, and our growth is fueling our hiring. We expect to do a lot of hiring this year.

We are currently hiring Data Engineers for our Data and Analytics Team.

Our tech stack is cutting-edge and cloud-native. We use modern languages, leverage functional programming, and build REST-based microservices on top of SQL and NoSQL databases. Our services run in docker containers and are orchestrated by Kubernetes. In fact, we were an early Kubernetes adopted and got a shout-out at the keynote of KubeCon 2020 for our K8's journey.

We work at the intersection of GovTech of FinTech by providing a modern tech experience for the everyday citizen. If you are interested in solving problems around observability, scalability, performance, security, modularity, configurability, and/or accessibility while working with large cloud-based data sets, come change the future of Government Technology with PayIt.

The Data Engineering Team ensures that our business and clients have access to high-quality, accurate data via multiple channels (reporting, data visualization tools, data warehouse, BI tools, analytics, etc).

Why Join Our Team:

We were one of the first Kubernetes clusters in the midwest and have always worked on the edge of innovation. We even received a shoutout at KuberCon 2020 for our K8's and K9's journey. Our platform is award-winning. And the problems that we solve for impact all of our lives.

Note: We are a cloud-native platform that currently lives in AWS.

What You’ll Need for this Role (Job Requirements):

• Expertise in Python


• Experience deploying software to public cloud infrastructure - AWS (preferred), GCP, Azure


• Experience with RDBMS, NoSQL and Cloud data storage technologies - DocumentDB, MongoDB and Postgres experience preferred


• Strong SQL experience and proven experiences with handling large volumes of data


• Experience with building ETL solutions and transforming data between different types of sources


• Experience building solutions for analytical reporting and business intelligence


• Experience building or working on reconciliation systems that compare data from multiple sources for verification.

Bonus Points For:

• Experience working with large-scale distributed systems, developing real time payments systems, and/or working with financial, accounting, or payments systems


• Experience working with data lakes and/or data warehouses


• Knowledge of microservices architectures


• Experience developing software professionally following agile methodologies (e.g., Scrum, Kanban)


• Experience with a data visualization tool such as Quicksight, Tableau or Lookr