Lead Data Engineer - GCP

CapgeminiNashville, TN
$130,000 - $170,000Onsite

About The Position

We are seeking a highly skilled Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) to design, develop, and optimize enterprise-scale data platforms and data processing pipelines. The ideal candidate will have extensive experience in cloud-native data engineering, distributed computing frameworks, modern DevOps practices, and data governance. This role requires both hands-on technical proficiency and leadership capabilities to drive best practices across the data engineering organization.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 8+ years of experience in data engineering, data warehousing, or big data technologies.
  • Strong programming skills in SQL, Python, Java and/or Scala.
  • Hands-on experience with distributed data processing frameworks: Apache Spark, Apache Beam.
  • Proven expertise with GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub, Composer (Airflow), Terraform.
  • Experience with DevOps practices including: CI/CD pipelines, Git-based source control, Infrastructure as Code (IaC).
  • Strong understanding of data modeling, ETL/ELT frameworks, and cloud data architectures.

Responsibilities

  • Build and optimize ETL/ELT pipelines using Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, and Cloud Functions.
  • Architect and manage BigQuery, Cloud Storage, and Data Fusion for efficient data ingestion, transformation, and storage.
  • Mentor junior engineers, review code, and establish data engineering standards, CI/CD, and monitoring (e.g., Cloud Monitoring, Logging).
  • Optimize pipeline performance, query efficiency, and GCP cost management (e.g., slot reservations, partitioning).
  • Work with data architects, scientists, and analysts to deliver self-service data platforms and support advanced analytics/ML use cases.
  • Implement data validation, lineage, and metadata management (e.g., Data Catalog, dbt).

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility
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