Senior Data Platform Engineer

Pittsburgh, PAFull-TimeSeniorSoftware Engineering

You will be redirected to the company career page

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

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