Senior Staff Data Engineer

🕒 March 27

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SmithRx

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

💰 $20M Series B on 2022-03

Healthcare Insurance • SaaS • B2B

SmithRx is a transparent, pass-through pharmacy benefits manager (PBM) that operates independently from insurance companies and pharmacies to align its incentives with self-insured employers and their members. By leveraging modern technology, SmithRx aims to reduce the cost and complexity of pharmacy benefits, ensuring the delivery of effective and low-cost drugs. The company is dedicated to transforming the pharmacy benefits landscape through its flat-rate, transparent pricing model and innovative cost savings programs, which connect members to the lowest cost drugs without the use of spread pricing, rebates, or other tactics. SmithRx's commitment to transparency and superior customer service results in significant savings for employers and a highly satisfactory experience for its members.

📋 Description

• Define Technical Vision: Define the long-term data engineering strategy guided by company-wide priorities and engineering best practices. • Design Ecosystems: Create coherent designs across multiple pipelines and API boundaries. Reduce complex concepts to foundational components and simplify infrastructure to lower maintenance costs. • Drive Engineering Excellence: Make high-impact technical choices—including "build vs. buy" and framework selections— based on sound reasoning. Review designs to preemptively identify and resolve technical risks. • Improve Developer Efficiency: Implement solutions that measurably improve developer efficiency and establish engineering-wide quality and best practices. • Deliver at Scale: Roll out major features and systems reliably, including appropriate monitoring, failure domain characterization, and success metric definitions. • Align with Business Goals: Leverage a deep understanding of SmithRx’s business strategy to identify group-wide opportunities. Proactively refocus team efforts when projects are off-course or not moving the needle for the business. • Manage Data Quality & Governance: Enforce data governance policies (PII/PHI protection, security, compliance) and implement data quality principles to raise the bar for the reliability of data shared internally and externally. • Influence Cross-Functionally: Influence the roadmaps of other SmithRx teams. Act thoughtfully and decisively in critical situations, seeking diverse perspectives but ultimately leading decision-making to move priorities forward. • Mentor and Develop: Serve as a role model and coach for other engineers, taking into account their unique skills and providing constructive feedback to maximize their impact. • Executive Communication: Develop focused messaging and effectively present technical strategies and business cases at the executive level. • Champion Organizational Change: Break down silos, build deep cross-functional relationships, and create excitement to drive the adoption of new technologies or processes across the organization.

🎯 Requirements

• 8+ years of years of industrial experience in data engineering with an advanced degree or 12+ years with an undergraduate degree in Computer Science, Information Technology, or a related field. • Demonstrated mastery of data modeling concepts, database design principles, and data warehouse technologies (e.g., Snowflake) through production-grade implementations. • Strong skills in PySpark, SQL, and Python are required. • Experience in modern object-oriented or compiled languages such as C#/C++, Go, Java, or Scala is a plus. • Hands-on experience with leading ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, dbt, Looker, Superset). • In-depth experience managing the entire data lifecycle, with direct responsibility for the development, implementation, and production release of complex data processing solutions utilizing distributed systems. • A proven track record of making decisions optimized for the wider engineering organization rather than locally optimal outcomes, especially in environments with significant ambiguity.

🏖️ 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 Company Holidays • Wellness Benefits • Commuter Benefits • Paid Parental Leave benefits • Employee Assistance Program (EAP) • Well-stocked kitchen in office locations • Professional development and training opportunities