Data Engineer Lead
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Job Description
We are seeking a Data Engineer with strong expertise in Google Cloud Platform (GCP) and PySpark to design, build, and optimize scalable data pipelines. The role focuses on processing large-scale datasets, enabling analytics, and supporting data-driven decision-making within a cloud-native ecosystem.
The ideal candidate will have hands-on experience with distributed data processing, cloud data services, and ETL/ELT frameworks, with a strong engineering mindset toward performance, scalability, and reliability.
Core Responsibilities
1. Data Pipeline Development
Design and develop scalable data pipelines using PySpark
Process and transform large datasets (batch and streaming)
Build reusable data processing frameworks
2. GCP Data Engineering
Work extensively with GCP services, including:
BigQuery (data warehousing)
Cloud Storage (data lake)
Dataflow / Dataproc (processing)
Optimize ingestion, storage, and retrieval of datasets in GCP
3. ETL / ELT Engineering
Develop and maintain end-to-end ETL/ELT pipelines
Ensure:
Data quality
Data consistency
Schema evolution handling
4. Performance & Optimization
Optimize PySpark jobs for:
Large-scale distributed processing
Memory and execution efficiency
Tune query performance in BigQuery
5. Data Integration & Collaboration
Collaborate with:
Data scientists
Analysts
Application teams
Enable datasets for analytics, reporting, and ML workflows
6. DevOps & Automation
Implement CI/CD for data pipelines
Use Git for version control
Automate deployments and monitoring of data workflows
🔧 Required Technical Skills
Programming & Processing
Strong Python + PySpark
Experience with Spark (RDD/DataFrame APIs)
Cloud Platform
Hands-on Google Cloud Platform (GCP):
BigQuery
Cloud Storage
Dataproc / Dataflow
Pub/Sub (preferred)
Data Engineering
ETL/ELT pipeline development
Data modeling (structured & semi-structured data)
SQL (advanced)
Tools & Frameworks
Airflow / Composer (workflow orchestration)
CI/CD pipelines
Nice-to-Have Skills
Streaming frameworks (Kafka / Pub-Sub streaming)
Delta Lake / Iceberg / Lakehouse patterns
Machine Learning pipeline exposure
Data governance and lineage tools
Ideal Candidate Profile
Strong data engineering mindset (not just scripting)
Experience with large-scale datasets (TB-level)
Comfortable working in cloud-native, distributed environments
Proactive in debugging and optimizing data pipelines"
The base compensation range for this role in the posted location is: 62,000 - 72,000
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.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- 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
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.
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. If you need assistance or accommodation, please reach out to your recruiting contact.
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.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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.
Atlanta, GA, US
Nearest Major Market: Atlanta