Senior Data Engineer

April 5

SmithRx

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SmithRx is a tech-forward PBM committed to changing the way pharmacy benefits are managed.

Healthcare • Pharmaceuticals • Healthcare IT • Pharmacy Benefit Management • Pharmacy Benefits Management

51 - 200

💰 $20M Series B on 2022-03

Description

• SmithRx is innovating in Pharmacy Benefits Management (PBM) with a next-gen platform, transforming how businesses manage pharmacy benefits. Our advanced technology offers real-time insights for cost efficiency, improved clinical services, and an enhanced customer experience. As part of SmithRx's product & engineering organization, the data engineering team is committed to creating a scalable and reliable data ecosystem, a vital foundation for delivering excellent service and operational superiority to our customers. • What you will do: - Design and implement scalable data models in enterprise data warehouse to support the company's analytical and reporting needs. - Develop and optimize ETL processes to ingest, transform, and load data from various sources into a data warehouse. - Collaborate with internal stakeholders, including Data Analytics team, to understand data requirements and translate them into technical solutions. - Build and maintain data warehouses, data lakes, and other data storage solutions to store and manage large volumes of structured and unstructured data. - Implement and enforce data governance policies to ensure PII/PHI protection, security, and compliance. - Monitor and optimize ETL jobs, database performance and data warehouse queries. - Document data engineering processes, data models, and design for knowledge sharing and reference. - Mentor junior data engineers and provide technical guidance and support to team members.

Requirements

• Bachelor's degree above in Computer Science, Information Technology, or a related field. • 5+ years of related experience in data engineering, software engineering, including proven experience as a Data Engineer with expertise in data warehouse technologies. • Strong programming skills, particularly in languages such as Python, Java. Proficiency in SQL, PySpark. • Solid understanding of data modeling concepts and database design principles. • Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, DBT, Looker) • Strong problem-solving abilities and attention to detail. • Excellent communication and collaboration skills. • Positivity; non-dogmatic, team-first attitude • Flexibility; someone who is responsive and comfortable with ambiguity • Start-up or healthcare experience is highly desirable

Benefits

• Total Rewards package that includes incentive bonus and stock options • 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