Senior Data Engineer: Spark, Hadoop & Big Data

PNC; Denver (CO); On-site; USD 50,000 - 186,000; Full time

Benefits offered by this job

Health insurance

401(k) with match

Pension plan

Stock purchase plan

Job summary

PNC is seeking a Senior Data Engineer to join its Data Products team. You will design, build, and optimize scalable data pipelines using Spark and SQL, with containerized deployments via Docker and Kubernetes.

You will work across data lake technologies (S3/ADLS) and modern table formats, contributing to architecture decisions and governance. The role emphasizes collaboration with stakeholders, mentoring peers, and adherence to CI/CD and IaC practices to drive reliable data solutions across

Qualifications

• Experience designing and maintaining scalable data pipelines using Spark, SQL, and distributed platforms.
• Proven ability to implement CI/CD for data workflows and manage containerized workloads.

Responsibilities

• Lead development and support of data solutions across multiple applications to meet business needs.
• Drive data requirement analyses and build data preparation processes.
• Design and build data service infrastructure across platforms and workflows.
• Oversee scalable, available, and maintainable data solutions; mentor junior engineers.
• Advise on data migration and transformation ensuring data accuracy and security.

Skills

Data pipelines

ETL/ELT

Cloud data architectures

Collaboration & mentoring

Education

Bachelor's degree

Tools

Docker

Kubernetes

Spark

OpenShift (OCP)

GitHub

Jenkins

Azure DevOps

S3/ADLS

Job description

PNC is seeking a Senior Data Engineer to join its Data Products team. You will design, build, and optimize scalable data pipelines using Spark and SQL, with containerized deployments via Docker and Kubernetes.

You will work across data lake technologies (S3/ADLS) and modern table formats, contributing to architecture decisions and governance. The role emphasizes collaboration with stakeholders, mentoring peers, and adherence to CI/CD and IaC practices to drive reliable data solutions across