Senior Data Engineer
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Location
This is an onsite role based in Chicago, IL or NYC
About the job you're considering:
As a Senior Data Engineer, you will design and build distributed data‑processing solutions and highly scalable database systems to support various business use cases, including reporting, product analytics, marketing optimization, and financial reporting. You will contribute as part of a self‑organized team of experienced data engineers working in a challenging and innovative environment, creating the foundation for decision‑making at a company that processes billions of events per day.
You will investigate, design, and implement solutions for complex technical challenges. You will also provide guidance, direction, and leadership to the development team to help achieve project goals.
Your role:
- Obtain tasks from the Project Lead or Team Lead (TL), prepare functional and design specifications, and review them with all stakeholders.
- Ensure that assigned areas are delivered within set deadlines and meet required quality standards.
- Provide effort estimations, align task duration with the manager, and contribute to the project plan for your assigned scope.
- Analyze alternative solutions and make implementation decisions based on technical expertise and experience.
- Lead the functional and architectural design for assigned areas, ensuring alignment with architectural and design requirements.
- Identify area‑level risks and implement appropriate mitigation plans.
- Resolve crisis situations within your area of responsibility (AOR).
- Initiate and conduct code reviews; create and enforce code standards, conventions, and guidelines.
- Suggest technical and functional improvements to enhance the product.
- Continuously improve your professional skills.
- Collaborate effectively with cross‑functional teams.
Your skills and experience:
- 6–8 years of professional experience as a Data Engineer.
- Strong experience with Apache Spark, including techniques for optimizing Spark workloads.
- Solid experience with Spark Structured Streaming.
- Strong knowledge of Spark SQL and query performance optimization.
- Hands‑on experience with Terraform and Databricks Asset Bundles.
- Ability to work independently, prioritize effectively, and proactively identify improvement opportunities.
- Comfortable working in a loosely defined scope, contributing to both execution and prioritization.
- Excellent communication skills and experience collaborating with both technical and non‑technical teams.
- Ability to clear a HackerRank coding test.
Nice to have:
- Experience with application development and Databricks Apps.
- Comfort working in Linux environments.
- Background in financial markets such as market making, trading, or related domains.
- Databricks certification.
The base compensation range for this role in the posted location is: $65,200 - $169,000
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.
Chicago, IL, US
Nearest Major Market: Chicago