Senior Data Engineer at SmithRx

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Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, Data Warehouse Technologies, Data Modeling, ETL Tools, Apache Spark, Apache Airflow, DBT, Machine Learning, Data Governance, Data Quality, Data Lifecycle, Collaboration, Healthcare Experience, Object-oriented Languages

Industry

Hospitals and Health Care

Description

Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: On the Data Engineering team we transform streams of data into insights that solve real world Pharmacy Benefits Management challenges. How? By leveraging LLMs where appropriate, to empower our Data Analytics and Machine Learning teams so that drug pricing is transparent and easy to understand. We deliver business impact by designing, implementing, and maintaining distributed systems to collect, aggregate, and govern pharmaceutical data. We leverage a collection of open source tools like Airflow and DBT built on top of industry leading data warehouses and use Python in our daily work. What you will do: 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. What you will bring to SmithRx: 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. Start-up and healthcare experience is highly desirable. What SmithRx Offers You: 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

Responsibilities

The Senior Data Engineer will design and implement scalable data models to provide insights into drug pricing and cost-saving opportunities. They will also develop processes to enhance data quality and governance while mentoring junior team members.