Data Engineer

Pedestal Health•Research Triangle Park, NC

28d•Hybrid

About The Position

We are seeking a talented Data Engineer to join our Technology team. In this role, you will develop, create, and modify computer application software and databases to drive operational efficiency and improve business processes. You will collaborate closely with stakeholders to analyze user needs, design custom software solutions, and implement scalable, reliable applications that support Pedestal Health’s mission. Pedestal Health (formerly Target RWE) combines deep health system partnerships, longitudinal data curation at scale, and modern study design to build continuous, high-quality evidence for life sciences organizations. The company partners with pharmaceutical and biotech companies, providers and payers to generate rigorous, multimodal evidence that supports clinical, regulatory and strategic decision-making across the full lifecycle of care. Pedestal Health is committed to advancing medical decision making to improve outcomes for patients. Pedestal Health is a Highlander Health company. Learn more at pedestalhealth.com.

Requirements

3+ years of software development experience, ideally in data engineering, data platform development, or backend systems.
Strong proficiency in SQL and Python.
Experience with cloud platforms (AWS, GCP, or Azure) and working in cloud-native environments.
Familiarity with version control and CI/CD tools (e.g., GitLab, GitHub Actions).
Strong problem-solving and communication skills.
Ability to work independently and manage tasks with moderate supervision.

Nice To Haves

Experience working with or developing machine learning pipelines or models.
Exposure to Generative AI or LLM frameworks (e.g., Langchain, LangGraph).
Knowledge of distributed computing concepts or tools (e.g., Spark, Dask).
Background in healthcare, life sciences, or clinical data.
Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience).

Responsibilities

Design and implement data pipelines and software solutions that promote operational efficiency and scalability.
Analyze business requirements and work with stakeholders to translate needs into technical solutions.
Write clean, maintainable code primarily in Python, with a strong emphasis on SQL for data manipulation and transformation.
Support and optimize cloud-based data infrastructure (AWS preferred).
Develop and modify databases to support internal applications.
Collaborate with operations and product teams to support deployment, testing, and maintenance.
Help troubleshoot production issues and contribute to ongoing improvement efforts.
Stay up to date on relevant tools, technologies, and best practices.