Lead Data Engineer

Capgemini; Nashville (TN); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plans (e.g., 401(k)

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Senior Data Engineer with strong Google Cloud Platform expertise to design, develop, and optimize enterprise-scale data platforms and pipelines. The role requires hands-on coding and leadership to drive data engineering best practices across the organization.

The candidate will work on real-time processing, multi-cloud environments, and DevOps practices including CI/CD, IaC, and Git.

Qualifications

• 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, and Infrastructure as Code (IaC).
• Strong understanding of data modeling, ETL/ELT frameworks, and cloud data architectures.

Responsibilities

• Design, develop, and optimize enterprise-scale data platforms and data processing pipelines.
• Lead best practices across the data engineering organization.
• Hands-on technical proficiency and leadership capabilities to drive initiatives across teams.

Skills

SQL

Python

Java/Scala

GCP DevOps

CI/CD

Git

Infrastructure as Code

Data modeling

Education

Bachelor's degree in Computer Science/Information Systems/Engineering

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Composer (Airflow)

Terraform

Vertex AI

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Your Role

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.

Must Have

• GCP Certifications (e.g., Professional Data Engineer).
• Experience with real-time processing, Vertex AI, or multi-cloud environments

Required Skills And Expereince

• 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.

The base compensation range for this role in the posted location is $130,000- $170,00

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Important Notice:

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

Benefits

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.

• 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

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.