Job Description

Hi

Role: Data Engineering Tech Lead Hadoop

Location: 1 st priority : Pittsburgh, PA

Location: 2 nd : Dallas, TX / Cleveland, OH, NYC Metro & Connecticut


Hybrid Role

Job description:

Must:

1. Hadoop experience
2. Led a small team or mentored jr developers(ideally, but not necessary)

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

• 8 10 years of experience in data engineering , with at least 2 3 years in a technical leadership role .
• Strong expertise in the Hadoop ecosystem (HDFS, Hive, MapReduce, HBase, Pig, etc.).
• Experience working with Avro , Parquet , or other serialization formats.
• Proven ability to design and maintain ETL / ELT pipelines using tools such as Spark , Flink , Airflow , or NiFi .
• Proficiency in Python , Scala for large-scale data processing.
• Strong understanding of data modeling , data warehousing , and data lake architectures.
• Hands-on experience with SQL and both relational and NoSQL data stores.
• Cloud data platform experience with AWS .
• Deep understanding of data security , compliance , and governance frameworks .
• Excellent problem-solving, communication, and leadership skills.

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