Data Engineer

Pine Park Health is hiring our first Data Engineer. In fact, the first R&D team we are building is our Data Team. This team will be a central piece of all future products that we are building. 

A bit about the position:

We are designing our product the data layer on up. At the top of our stack, we are pursuing a 'low-code' care delivery strategy while we develop our data systems. It's a unique opportunity to build out a data infrastructure, team, processes, and culture from a clean slate while benefitting from live operations and use cases. We are consciously investing "data-first", as the insights we derive will power how we deliver better care to our patients, and how our value-based business wins in the long run. Our market opportunity, team, and investors are all strong. Give us a look, and if you're interested in learning more, I'd be happy to catch up for a walk or a zoom. 

What You'll Do:

Partner with our Product, Clinical, and Operations teams to design data-driven care delivery workflows that consistently deliver remarkably personalized patient care. To this end, you will occasionally spend time inside Assisted Living Facilities (ALFs) shadowing our Growth, Ops & Care Delivery teams to gather context required to make excellent technical design decisions. Lead the effort to implement a de novo data infrastructure ( instrumentation, ETL, mesh architecture, warehouse, BI/reporting (Looker) and web services) to enable the care delivery workflows you help design. Understand our ‘no/low code’ approach to growth & care delivery applications at the ‘top of our stack’. Then devise a capture/instrumentation strategy to pull relevant data from Salesforce, Monday.com, Elation, and other operational applications, in order to: Enable actionable analyses/insights for the business Trigger operational cues for our care delivery team through heuristics & modeling Facilitate efforts to build a data driven culture and cadence at Pine Park Health Support efforts to devise a threat model for Pine Park Health. Lead our corresponding strategy and execution plan to protect our patient and partner data; including coverage for: HIPAA, SOC2, HITRUST, PCI, disaster recovery, abuse/security, etc.

What we're looking for:

Someone with a history of living our core values: Stay focused: Pine Park Health is intensely focused on our goal: to build a new kind of primary care model and company for seniors, providing consistently high-quality care and reducing hospitalizations. Be an owner: Own a process, goal, or patient experience all the way to the outcome. Prioritize follow-through and earn the trust of those we work with. Solve problems with process: Pine Park Health is built on the idea that the best way to solve a repeating problem is with a repeatable process. We aim for consistent rigor and rely on building systems and processes for a high-quality experience and to minimize preventable errors. Commit to learning: We are constantly seeking to learn without ego. We stay curious and open-minded. We believe great ideas come from everywhere. Care for patient outcomes: We care. Constantly. We focus on the human beings at the center of our care, and their long-term goals and outcomes. We build to improve patient outcomes. All decisions should be made in service of this goal. Bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. 5+ years of Data Engineering experience in a variety of settings like healthcare, early & later stage companies, regulated environments, etc. Experience with statistical modeling and data analysis on large/complex, data-sets in close partnership with cross-functional teams. This includes root cause analysis on anomalous data. Experience creating data pipelines & ETL jobs to combine disparate data sources and automating dashboards & analytical tools to identify changes in business metrics Familiarity with tools & standards like: Airflow, Azkaban, BigQuery, BitBucket, Cassandra, DataGrip, EC2, FHIR, Fivetran, Git, Github, Google Analytics, Google Cloud, HL7, Hadoop, Kafka, Looker, Luigi, Node.js, NoSQL, MixPanel, Python, PostgreSQL, PyCharm, Redshift, S3, SPAD, Spark, SQL, stata, Storm, Tableau, etc. Current Pine Park Health tools are bolded.

A penchant for writing clean, well-structured, code