Lead Data Platform Engineer: Pipelines, DevOps & Scale

GENNTE Technologies; Pittsburgh (Allegheny County); Hybrid; USD 100,000 - 140,000; Full time

Job summary

GENNTE Technologies in Pittsburgh is seeking an experienced Lead Data Engineer to drive the design and delivery of scalable data platforms and pipelines. This role demands strong expertise in Python, SQL, and modern data engineering practices, with a focus on leading teams and implementing DevOps-driven workflows.

The ideal candidate will manage scalable ETL/ELT pipeline design, define best practices, and enhance the performance and reliability of data architectures. Strong problem-solving skills and an ownership mindset are essential.

Qualifications

• Strong hands-on experience in Python and SQL.
• Deep understanding of data engineering concepts (ETL/ELT, data modeling).
• Proven experience in designing production-grade data pipelines.
• Strong exposure to DevOps practices and tools.

Responsibilities

• Lead the design and implementation of scalable ETL/ELT pipelines.
• Define best practices for data engineering.
• Own the end-to-end delivery of data pipelines.
• Drive the implementation of CI/CD in workflows.
• Mentor and guide junior engineers.

Skills

Python

SQL

DevOps practices

ETL/ELT

Data modeling

Tools

Jenkins

Docker

Airflow

Job description

GENNTE Technologies in Pittsburgh is seeking an experienced Lead Data Engineer to drive the design and delivery of scalable data platforms and pipelines. This role demands strong expertise in Python, SQL, and modern data engineering practices, with a focus on leading teams and implementing DevOps-driven workflows.

The ideal candidate will manage scalable ETL/ELT pipeline design, define best practices, and enhance the performance and reliability of data architectures. Strong problem-solving skills and an ownership mindset are essential.