Principal Data Engineer

Remote

SmithRx

Discover SmithRx's innovative approach to pharmacy benefits using modern, transparent technology for more efficient and cost-effective drug delivery.

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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: Always operate with honesty and transparency so we earn the trust of our clients.
  • Courage: Demonstrate the courage needed to take on a broken industry and continuously improve what we offer to optimize health outcomes.
  • Together: Foster a collaborative and inclusive environment that values teamwork, respect, and open communication, and encourages creativity and diversity of thought.

Job Summary:

SmithRx is leading the transformation of pharmacy benefit management (PBM) with a cutting-edge platform that delivers real-time insights, cost efficiencies, and exceptional customer experiences. As we continue to expand, we are seeking an experienced Principal Data Engineer with expertise in data engineering and AI/ML. In this key role, you will take ownership of driving innovation and leading the technology strategy for modern data platforms across data warehouse, tooling, integrations, and AI/ML. You will collaborate with cross-functional leaders to deliver impactful data solutions that directly influence our business outcomes.

What you will do:

  • 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
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What you will bring to SmithRx:

  • 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.

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
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow Architecture AWS Computer Science Data pipelines Data quality Data warehouse dbt ELT Engineering ETL Machine Learning ML models Model deployment NoSQL OLAP OpenAI PhD Pipelines PySpark Python Security Snowflake Spark SQL Terraform

Perks/benefits: Career development Flex vacation Health care Insurance Medical leave Parental leave Snacks / Drinks Wellness

Region: Remote/Anywhere

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