We’re changing the way people connect to social care.
At Findhelp, we’ve built a comprehensive platform of products and services that make it easy for you to connect people to resources, follow them on their journey, and track your impact in a fast and reliable way. Our industry-leading social care network includes more than half a million local, state, and national programs that serve every ZIP Code in the country, from rural areas to major metropolitan centers.
Findhelp is headquartered in Austin, Texas and has been enabling healthcare, government, education, and other organizations to connect people with the social care resources that serve them, with privacy and security, since 2010.
As a mission driven organization, we are focused on creating a positive impact by connecting people in need to the programs that serve them with dignity and ease. Powered by our proprietary technology that enables people to find the resources available in their area, we have helped millions of Seekers find food, health, housing and employment programs.
The R&D Department is made up of different disciplines including software and database engineers, quality, technical implementation. R&D designs and develops requested product features, fixes bugs within our platform, provides technical analysis and estimation, ensures successful integration installations, manages and monitors the health of our platform, and develops automation and tooling for efficient and reliable software development processes. R&D works cross-functionally with many other departments in the organization as a team to fulfill Findhelp’s mission of connecting all people in need and the programs that serve them with dignity and ease.
We are seeking a highly skilled Sr Staff Data Solution Engineer to join our team. As a Staff Data Solution Engineer, you will coordinate and contribute to the design, development, and implementation of data solutions for our customers and team. You will be responsible for working closely with External customers, Internal business stakeholders and Engineering teams to understand the current and future data needs. This role offers an exciting opportunity to work on diverse projects, solve complex problems, and contribute to the success of our data-driven initiatives.