About the job you're considering
We are seeking a highly skilled
Senior Data Engineer to design, build, optimize, and maintain scalable cloud-based data platforms. The ideal candidate will have strong expertise in
Snowflake, modern data warehousing, ETL/ELT development, cloud technologies, and data modeling. This role will partner closely with business stakeholders, analysts, data scientists, and engineering teams to deliver reliable, high-performance data solutions that support reporting, analytics, and advanced data initiatives.
Your role
- Design, develop, and maintain scalable data pipelines and data integration solutions.
- Build and optimize data warehouse solutions using Snowflake.
- Develop ETL/ELT processes to ingest, transform, and load data from various source systems.
- Implement data modeling techniques including dimensional modeling and star schema design.
- Optimize Snowflake performance, storage, and cost management.
- Ensure data quality, integrity, governance, and security across the data platform.
- Collaborate with business users, analysts, and architects to gather requirements and deliver data solutions.
- Troubleshoot and resolve data pipeline and performance issues.
- Support CI/CD deployment processes and infrastructure automation.
- Mentor junior engineers and promote data engineering best practices.
- Participate in architecture reviews and technology evaluations.
Skills and experience
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- 5+ years of experience in Data Engineering, Data Warehousing, or BI Engineering.
- 3+ years of hands-on Snowflake experience.
- Strong SQL development and query optimization skills.
- Experience building large-scale ETL/ELT pipelines.
- Ability to design and implement AI-enabled data solutions within Snowflake using Cortex capabilities for natural language querying, semantic search, document processing, text analytics, and generative AI applications.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Proficiency in Python for data engineering and automation.
- Experience with data modeling and warehouse design.
- Strong understanding of data quality, data governance, and security principles.
The base compensation range for this role in the posted location is: $76,730 - $150,800.
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.
