Senior Data Engineer

Capgemini; Dallas (TX); On-site; USD 86,000 - 96,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision coverage

Retirement savings plans (401(k))

Life and disability insurance

Employee assistance programs

Job summary

Capgemini in Richardson, TX is seeking an Operations Engineer for a high‑performance algorithmic trading stack. You will handle operational aspects, ensuring robustness, scalability, and real-time support for production trading systems.

The role requires strong CS fundamentals and expert Python, Spark, and SQL skills, plus CI/CD and Git practice; you will translate pricing models into production code and contribute to architecture and data stack.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field.
• Strong CS fundamentals including data structures, algorithms, and systems design.
• Expert in Python, Spark and SQL with clean, scalable, testable code.

Responsibilities

• Handle operational aspects of the algo; ensure the stack is robust, scalable, and high-performing.
• Identify and resolve bottlenecks in the trading lifecycle; build automated solutions to improve desk efficiency and reliability.
• Provide expert-level real-time troubleshooting for production trading systems with 24/7 availability in volatile markets.
• Design, build, and maintain high-performance tech and data stack powering systematic block market-making.

Skills

Python

Spark

SQL

Education

Bachelor's or Master's in CS/Engineering

Tools

Git

CI/CD

Performance profiling

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.

Location: Richardson, TX

Responsibilities

• Responsible for handling the operational aspects of the algo and ensuring the stack is robust, scalable, and high-performing.
• Operational Engineering: Proactively identify and resolve technical bottlenecks in the trading lifecycle; build automated solutions to enhance desk efficiency and system reliability.
• Real-time Support: Provide expert-level technical troubleshooting for production trading systems, ensuring 24/7 high availability and performance in volatile market conditions.
• System Architecture & Optimization: Design, build, and maintain the high-performance tech and data stack powering our systematic block market-making business.
• Algorithmic Implementation: Translate complex quantitative pricing models and business logic into robust, production-grade code for real-time pricing and risk management.

Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field. A strong foundation in CS fundamentals (data structures, algorithms, and systems design) is essential.
• Core Languages: Expert-level proficiency in Python, Spark and SQL. You should be comfortable writing clean, scalable, and testable code.
• Engineering Best Practices: Deep understanding of software engineering lifecycles, including CI/CD, version control (Git), and performance profiling.

The base compensation range for this role in the posted location is: $86,000 - 96,000

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.

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.