Salary
💰 $150,000 - $170,000 per year
Tech Stack
AWSETLGoPySparkPythonSQLTableauTypeScript
About the role
- Claritas Rx is a venture-backed digital health startup that brings clarity to the challenges of specialty biopharmaceutical products in the marketplace.\n
- In today’s highly complex specialty networks, our mission is to illuminate the patient experience beyond the clinical trial.\n
- Claritas Rx leverages a proprietary technology platform and deep manufacturer expertise to automate and integrate channel, commercial, and clinical data and help biopharmaceutical companies generate actionable business insights.\n
- Our work uncovers the real-world variables impacting patient access, duration of therapy, and other metrics key to commercial success, making a real impact on patient healthcare.\n
- The Sr Data Engineer will own and drive multiple major workstreams by refining requirements, creating design documents, delivering rapid prototypes and POCs, tasking out detailed implementation plans and overseeing the implementation using a mix of onshore and offshore resources.\n
- You will help give a weekly status on the workstream and help drive work forward by reviewing PRs, doing UAT that work was done as expected, and that it was deployed to production and operational.\n
- You will help demo the completed workstream to the rest of the business and facilitate transitioning ownership of each service built to an operations support team with the help of metrics, dashboards, alarms and runbook documentation.\n
- The workstreams are generally related to developing a secure, robust and scalable data pipeline with software components for ingesting, validating, mastering, transforming, analyzing, and reporting on complex health care data.\n
- The software transforms disparate data into actionable, meaningful insights for our customers.\n
- You will be a critical member of a product and engineering steam that is building a unique healthcare software solution.\n
- Key Accountabilities include designing, building and operating data systems; leading offshore engineers; creating design documents; ensuring security and HIPAA compliance; applying AI tooling; and participating in quarterly planning and town halls.
Requirements
- 5 years leading other software engineers\n
- Expertise in data architecture and business intelligence systems including ELT development, data transformation, data modeling, report design / development and BI dashboard design / development\n
- 10+ years of professional software engineering experience\n
- 5 years of Python experience\n
- 5 years of Typescript experience\n
- 5 years of SQL experience including complex joins, query performance, triggers, views\n
- 5 years of experience with Infrastructure as Code tooling, preferably CDK\n
- Deep expertise & certifications on AWS\n
- Experience with ETL tooling on AWS like PySpark, Lake Formation and Glue\n
- Familiarity with Golang\n
- Experience with Kinesis data streaming\n
- Experience working with visualization tools like Tableau\n
- Familiarity with HIPAA/SOC/HITRUST requirements