Senior Data Engineer

Summary

Join SmithRx, a rapidly growing Health-Tech company, and become a Data Engineer on our team. Transform data streams into actionable insights to address Pharmacy Benefits Management challenges. Leverage LLMs and design, implement, and maintain distributed systems for pharmaceutical data. Utilize open-source tools like Airflow and DBT, and work with industry-leading data warehouses. Contribute to transparent and easily understandable drug pricing. This role requires a collaborative approach and a commitment to improving the healthcare system.

Requirements

• 4+ years of years of industrial experience in data engineering with an advanced degree or 5+ years with an undergraduate degree in Computer Science, Information Technology, or a related field
• Demonstrated expertise in data warehouse technologies. (e.g. Snowflake)
• Strong skills in Python/PySpark and SQL
• Experience in other modern object-oriented languages such C#/C++, Go, Java, or Scala
• Mastery of data modeling concepts and database design principles as evidenced by production-grade implementations
• Hands-on experience with leading ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, DBT, Looker, Superset)
• In-depth experience with entire data lifecycle, from ingestion to processing to usability by various business functions
• Significant contributions to development implementation, and production release of multiple data processing solutions, utilizing distributed systems
• Demonstrated ability to consistently deliver impactful outcomes for your team and the business through high personal output
• Track record reviewing and improving the code of other engineers, improving their technical and non-technical skills to maximize their impact
• Proven ability to drive results in fast-paced growth environment, including navigating ambiguity and collaborating productively with business stakeholders

Responsibilities

• Design and implement scalable, performant data models to deliver rapid insights into drivers of drug prices and cost-savings opportunities
• Develop and optimize processes to improve the correctness and usability of 3rd party data
• Implement data quality principles to raise the bar for reliability of data shared internally and externally
• Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance
• Apply AI best practices to document data engineering processes, data models
• Be a role model and mentor to junior team members by providing technical guidance and support

Preferred Qualifications

Start-up and healthcare experience is highly desirable

Benefits

• Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
• Flexible Spending Benefits
• 401(k) Retirement Savings Program
• Short-term and long-term disability
• Discretionary Paid Time Off
• 12 Paid Holidays
• Wellness Benefits
• Commuter Benefits
• Paid Parental Leave benefits
• Employee Assistance Program (EAP)
• Well-stocked kitchen in office locations
• Professional development and training opportunities