Hadoop Data Engineer (Pittsburgh)

About the job :

We are seeking an accomplished Tech Lead Data Engineer to architect and drive the development of large-scale, high-performance data platforms supporting critical customer and transaction-based systems. The ideal candidate will have a strong background in data pipeline design , Hadoop ecosystem , and real-time data processing , with proven experience building data solutions that power digital products and decisioning platforms in a complex, regulated environment.

As a technical leader, you will guide a team of engineers to deliver scalable, secure, and reliable data solutions enabling advanced analytics, operational efficiency, and intelligent customer experiences.

Key Roles & Responsibilities

• Lead and oversee the end-to-end design, implementation, and optimization of data pipelines supporting key customer onboarding, transaction, and decisioning workflows.
• Architect and implement data ingestion, transformation, and storage frameworks leveraging Hadoop , Avro , and distributed data processing technologies.
• Partner with product, analytics, and technology teams to translate business requirements into scalable data engineering solutions that enhance real-time data accessibility and reliability.
• Provide technical leadership and mentorship to a team of data engineers, ensuring adherence to coding, performance, and data quality standards.
• Design and implement robust data frameworks to support next-generation customer and business product launches.
• Develop best practices for data governance , security , and compliance aligned with enterprise and regulatory requirements.
• Drive optimization of existing data pipelines and workflows for improved efficiency, scalability, and maintainability.
• Collaborate closely with analytics and risk modeling teams to ensure data readiness for predictive insights and strategic decision-making.
• Evaluate and integrate emerging data technologies to future-proof the data platform and enhance performance.

Must-Have Skills