Senior Data Engineer at Counsel Health

About CounselCounsel Health is an AI-enabled physician-supervised virtual care company on a mission to multiply the worlds clinical capacity. We believe in a future where every person has a perfect doctor in their pocket always available infinitely knowledgeable and deeply personalized. To achieve this were building the first fully vertical AI-enabled medical group from the ground up redesigning the entire clinical stack with custom AI tools that make our in-house physicians faster and smarter without compromising security or patient safety.Since our founding in 2023 Counsel has partnered with leading employers health plans health systems and channel partners serving 100K members and on track to reach 1M more over the next 12 months. We have raised over $35M from a16z GV and other top-tier investors and are on pace to 5x revenue this year.Our founding team includes senior physicians and technology leaders from Harvard Medical School Massachusetts General Hospital UCSF the MIT Media Lab and Mount Sinai. Our broader team coming from Stripe NVIDIA and Google DeepMind is growing quickly and were looking for exceptional people to join us at this inflection point.About The RoleWe are seeking a talented driven and experienced Senior Data Engineer to join us in defining the future of AI human healthcare. This role is fully remote.You will own and architect the data infrastructure powering our Clinical AI Product and Financial Operations. This role is central to ensuring our platform can scale seamlesslymeeting the demands of large healthcare clients while reliably serving hundreds of thousands of patients. Our culture is fast-paced and ambitious and we aim for every team member to be exceptional.What Youll Be Working OnPrimarily focus on architecting our data infrastructure layer that drives our financial clinical and AI applicationsBuild robust batch and streaming ingestion pipelines that unify data from diverse internal and external systems into a consistent ontology-driven data modelMaintain dbt-driven SQL models that unify datasets from our product integrations financial operations and clinical data leveraging ontologies (e.g. SNOMED CT ICD HL7 FHIR)Design data pipelines that handle diverse sets of structured (e.g. SQL APIs) and unstructured (e.g. documents notes embeddings) datasetsFuture-proof the data platform to anticipate and support evolving needs including:AI workflows such as NLP embeddings knowledge graphs and retrieval-augmented generationFinancial workflows for accounting tracking and observabilityClinical and support workflows that allow non-technical teams to self-service dataExamples of projects you may work on:Build real-time PHI-scrubbed operational dashboards to support clinical and support teams; allowing non-technical users to self-service data using AI-supported toolingSet up change data capture (CDC) to store historical data and allow engineers and analysts to time travel back to a past state of the systemBuild reverse ETL infrastructure to bring analytically derived data into our core application to drive patient engagementImprove our financial modeling marketing data analysis customer acquisition and user retention metricsAnalyze our LLM performance & latency metrics and model how this impacts costs user experience and potential caching strategiesRequirements5 years of experience in data engineering building high-performance data pipelines:Previously pioneered self-service analytics & business intelligence tooling (e.g. Hex Sigma Looker) for a diverse set of stakeholdersOperational experience with data storage platforms (e.g. Databricks Iceberg or Snowflake) and analytical query engines (e.g. Athena or Presto)Managed job orchestration (e.g. Dagster Airflow) and semantic data modeling (dbt SQL)2 years working in highly regulated industries such as healthcare or financial services:Implemented row-level security and data masking for PHI/PII use casesDeep familiarity with row and columnar data warehouses (e.g. PostgreSQL BigQuery Snowflake)Opinionated about data architecture data modeling and analytics in a fast-growing environmentYou are a great fit ifYou have hands-on experience architecting data platforms from day 0 in a fast-paced high-growth environmentYouve extensively worked with healthcare data and standards (e.g. HL7 FHIR CDS ICD-10)You have experience with our tech stack: AWS Google Cloud PostgreSQL FHIR serversYou consider yourself a Swiss-army knife data engineer who can flex into both data infrastructure semantic modeling and operational analyticsYou have knowledge of medical statistics and are keen to learn moreYoure comfortable working across teams on multi-stakeholder projectsYou thrive on working alongside exceptional teammates and derive energy from collaborative environmentsRecruitment Fraud NoticeCounsel Health only communicates with candidates using official @ email addresses. We will never ask for payment or financial information during the interview process. If you receive suspicious outreach claiming to be from Counsel Health please contact us at .Required Experience:Senior IC Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full-Time Department / Functional Area: Engineering Experience: years Vacancy: 1 Monthly Salary Salary: 180 - 225