Target RWE leverages real-world data to advance clinical research and inform better healthcare decisions. The company is seeking a Data Engineer to develop, create, and modify computer application software and databases to drive operational efficiency and improve business processes.
Requirements
- 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).
- 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).
Responsibilities
- Design and implement data pipelines and software solutions that promote operational efficiency and scalability.
- 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.
Other
- 3+ years of software development experience, ideally in data engineering, data platform development, or backend systems.
- Strong problem-solving and communication skills.
- Ability to work independently and manage tasks with moderate supervision.
- Background in healthcare, life sciences, or clinical data.
- Hybrid role: Located in Raleigh/Durham, NC or Dallas, TX
