Job Location
This is an onsite role based in NYC, NY.
About the job you're considering
We are seeking a Senior Data Engineer with expertise in
Databricks, Apache Spark, and Cloud Data Platforms to lead data engineering initiatives while managing client delivery, support operations, and project execution.
Your role
- Design, build, and optimize scalable data pipelines and lakehouse solutions.
- Lead project delivery, resource planning, risk management, and stakeholder communication.
- Manage support operations, ensuring SLA compliance and high customer satisfaction.
- Collaborate with business, analytics, and engineering teams to deliver data-driven solutions.
- Develop dashboards, reports, and automation initiatives to improve operational efficiency.
- Monitor cloud and platform costs (GCP/Snowflake) and drive cost optimization efforts.
- Manage client relationships, monthly reviews, escalations, and commercial discussions.
- Identify process improvements, support new application onboarding, and drive continuous innovation.
Skills and experience
- 5+ years of hands-on experience designing and developing ETL/ELT pipelines using Databricks, Apache Spark, and PySpark.
- Strong proficiency in Python, SQL, and PySpark.
- 5+ years of Project/Delivery Management experience.
- Experience with Delta Lake, Data Lakehouse architecture, streaming data, and data warehousing.
- Hands-on experience with AWS, Azure, or GCP.
- Knowledge of CI/CD, Git, DevOps practices, and performance tuning.
The base compensation range for this role in the posted location is: $133,000 - $150,000.
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.
