We are eager for a full-time data analytics engineer to join our tight-knit engineering team. Success in this role includes building, testing, deploying, and scaling our data warehouse and product analytics in a fast-moving startup environment.
Dina is a leading Chicago-based health-tech company. Our mission is to accelerate healthcare’s transition to the home by connecting people, technology, and data to re-imagine care in a home-first model. Our web and mobile applications are the industry’s first fully integrated suite for HIPAA-compliant communications including care coordination, transitions, and referrals. All of this is powered by our in-house digital assistant, whose predictive models identify patients showing a high risk for returning to the emergency department or requiring specialized support, optimizing the health and safety of each patient’s journey.
Please note, due to the unprecedented COVID-19 pandemic, Dina has decided to protect our current and future employees by managing our business remotely. This includes interviewing, on-boarding, and working through our roles each day. We will continue to follow the guidance of local health authorities and the CDC.

You are:

• Passionate and dedicated to solving complex and challenging problems, working with a sense of urgency; seeing projects through to completion
• Excited to collaborate with engineers, data scientists, designers, and product managers to design, build, and deliver our data warehouse and product analytics
  
• Eager to help others, striving to contribute to the success of your peers, the team, and the company
• Curious to explore and learn new technologies
• Self-driven, resourceful, and independent - yet unafraid to ask for help
• Capable of consistently applying and adhering to design patterns and application architecture
  

You have:

• At least 5 years experience with data warehouse design, build, QA, and upkeep
• Experience designing, documenting, implementing, debugging, and improving production data analytics pipelines
• Proven ability to craft analytics requirements in collaboration with key stakeholders, measuring product success and supporting operational efficiency
• Designed and delivered internal and customer facing reports and visualizations with a BI tool such as Looker, Tableau, or equivalent
  

We use: 

• Analytics/Warehouse/Data Storage: Looker, Google BigQuery, Google Storage
• Product Data Stores: Azure Cosmos MongoDB, Firebase
  

Benefits:

• Health insurance, disability insurance, commuter benefits
• Wide variety of work; many different problems to solve
• Strong, positive culture focused on success and development
• High performing, small, fast-growing team — immediate opportunity for high impact, career acceleration, and specialization as we scale