Senior Data Platform Engineer
Pittsburgh, PAFull-TimeSeniorSoftware Engineering
Scope of Responsibilities
- Design and implement platform architecture enhancements to support scalability and reliability
- Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software
- Evaluate and integrate emerging technologies to improve the data platform
- Collaborate with teams across the organization to understand business needs and translate them into data solutions
- Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practices
Qualifications
- US Citizenship Required
- Bachelor's degree in Computer Science, Mathematics or a related technical field
- 5+ years of experience in building and maintaining scalable data platforms or services
- Strong proficiency in Python and SQL
- Proven experience in architecting and implementing data pipeline frameworks, including orchestration
- Solid understanding of data security and governance best practices
- Hands-on with big data frameworks, such as Apache Spark
- Knowledge of cloud-native data lake/lakehouse architectures
- Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications
- 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, scalable systems
- Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship
- Experience using Amazon Web Services
- Experience in or exposure to the nuances of a startup or other entrepreneurial environment
- Working knowledge of large (multiple terabytes) amounts of data
