Principal Data Engineer

October 29, 2024

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SmithRx

WebsiteLinkedInAll Job Openings

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

51 - 200 employees

Founded 2018

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

💰 $20M Series B on 2022-03

Description

• 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

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.

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