6 days ago
Pittsburgh, PA, USAMid Level / Senior
Responsibilities
- Design and implement platform architecture enhancements to support scalability and reliability.
- Build, maintain, and support data platform solutions for efficient data consumption.
- Evaluate and integrate emerging technologies to improve the data platform.
- Collaborate with teams to understand business needs and translate them into data solutions.
- Mentor junior engineers through code reviews and technical leadership.
Requirements
- U.S. Citizenship is required.
- Bachelor's degree in Computer Science, Mathematics, or a related technical field.
- 5+ years of experience in building and maintaining scalable data platforms.
- Strong proficiency in Python and SQL.
- Proven experience in architecting and implementing data pipeline frameworks.
- Solid understanding of data security and governance best practices.
- Hands-on experience with big data frameworks like Apache Spark.
- Knowledge of cloud-native data lake/lakehouse architectures.
- Demonstrated ability to collaborate with stakeholders for data platform solutions.
- Strong analytical skills and attention to detail.
- Ability to work independently in a fast-paced environment.
- A passion for solving complex problems and building sustainable systems.