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 to empower data analytics and machine learning teams, ensuring transparent drug pricing. Design, implement, and maintain distributed systems for pharmaceutical data collection and governance. Utilize open-source tools like Airflow and DBT, and work with industry-leading data warehouses. Contribute to a mission-driven and collaborative culture dedicated to transforming the U.S. healthcare system. This role requires significant experience in data engineering and a strong programming background.

Requirements

• 8+ years of industrial experience in data engineering, including demonstrated expertise in data warehouse technologies. (e.g. Snowflake)
• Master’s degree in Computer Science, Information Technology, or a related field
• Strong programming skills, in languages including C#/C++, Go, Java, Python/PySpark, Scala, and SQL
• 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
• Direct ownership and responsibility for 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
• Ability to mentor 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