Principal Data Engineer, Machine Learning

Summary

Join SmithRx, a rapidly growing Health-Tech company, as we transform the pharmacy benefit management sector with a cutting-edge platform. We're seeking an experienced Principal Data Engineer to lead our technology strategy for modern data platforms.

Requirements

• BS, MS, or PhD in Computer Science, Information Systems, or a related field, with 15+ years of experience in data engineering, data science, or a similar role
• Strong expertise in data architecture, database design, and optimization, with experience in OLTP, OLAP, NoSQL, and cloud-based data warehouses (e.g., AWS Snowflake, PostgresDB, DymanoDB, etc )
• Proficiency in programming languages such as Python, SQL, and tools like Spark, PySpark, Airflow, DBT, Snowflake, Cortext, OpenAI, and Terraform
• Proven experience architecting and designing AI/ML initiatives with a deep understanding of AI/ML algorithms and frameworks. Nice to have - experience in developing and deploying ML models in production
• Ability to lead cross-functional teams, influence stakeholders, and manage complex projects in a fast-paced environment
• Strong analytical and problem-solving skills, with the ability to handle evolving requirements and ambiguous challenges
• Excellent communication and presentation skills, capable of conveying complex technical concepts to both technical and non-technical audiences

Responsibilities

• Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines
• Architect, develop an enterprise data warehouse (EDW) and tooling that encompasses design patterns to scale and expand through integrations and automation of ETL/ELT pipelines as well as analytic layer to scale reporting and insights
• Develop strategies across the entire AI/ML project lifecycle. This includes seamless integration with data platforms, spanning from problem definition and data preparation to model deployment and performance monitoring
• Drive innovation by evaluating and implementing new technologies and tools that enhance our data platform’s capabilities
• Drive excellence and standardization e.g. Optimize the performance of database systems, ensuring best practices in data security, access control, and compliance
• Ensure data quality, lineage, and resilience across production environments including monitoring, alerting, and recovery mechanisms to ensure 99% uptime and quick resolution of data pipeline issues
• Provide technical leadership, mentoring, and guidance to team members, establishing and enforcing best practices in data engineering and data science
• Influence and Collaborate with cross-functional teams & leadership, including product managers, engineers, data analysts, and business stakeholders

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