Data Engineer @ A Place For Mom

Company DescriptionA Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation’s largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more. Established in 2000 as a family business, A Place for Mom employees are deeply committed to the company mission to enable caregivers to make the best senior care decisions. A Place for Mom fosters, cultivates, and preserves a culture of diversity, equity, and inclusion.Our employees live the company values every day:Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow.Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team.Win The Right Way: We see organizational integrity as the foundation for how we operate.Embrace Change: We innovate and constantly evolve.Job DescriptionAs a Data Engineer, you will play a pivotal role in building and optimizing our data infrastructure to enable robust, data-driven decision-making across the organization. You’ll work hands-on with cutting-edge technologies, lead complex projects, and collaborate with cross-functional teams to deliver scalable data solutions that meet business needs.Key Responsibilities:Data Pipeline DevelopmentDesign, develop, and maintain data pipelines to integrate, transform, and load data from diverse sources using tools such as Databricks and Fivetran.Optimize data workflows for performance, reliability, and scalability.Data Warehouse DevelopmentCollaborate with analysts and data scientists to maintain and enhance the data warehouse architecture for analytics and machine learning.Ensure data models are efficient and support…