Data Engineer

RiseMe; Houston (TX); Hybrid; USD 44,000 - 106,000; Full time

Benefits offered by this job

Paid time off

Health, dental, vision

Retirement savings plans

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Data Scientist with expertise in Machine Learning, Time Series Analytics, and Cloud Data Platforms. The role develops analytical models, builds data pipelines, and delivers insights using AI technologies from Houston, TX in a hybrid setup.

The candidate will work with Python, PyTorch, SQL, and C++, create dashboards with Tableau and Power BI, and partner with business teams to drive data-driven decisions.

Qualifications

• 4+ years of experience in Data Science, Machine Learning, or Analytics.
• Strong expertise in Python, PyTorch, SQL, and C++.
• Experience with Time Series modeling and forecasting.
• Hands-on experience with Tableau and Power BI.
• Experience with Snowflake and Google Cloud Platform (GCP).
• Strong understanding of ETL/ELT processes and data pipelines.
• Experience with machine learning model development and deployment.
• Strong analytical, problem-solving, and communication skills.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

Responsibilities

• Develop machine learning and predictive analytics models.
• Build and maintain ETL/ELT workflows and data pipelines.
• Perform data extraction, transformation, and loading from multiple sources.
• Develop time series forecasting and statistical models.
• Create dashboards and reports using Tableau and Power BI.
• Utilize Python, PyTorch, C++, SQL, Snowflake, and Google Cloud for analytics solutions.
• Collaborate with business and technology teams to deliver data-driven insights.
• Perform model testing, validation, and performance optimization.
• Support data quality, governance, and AI/ML deployment initiatives.

Skills

Python

PyTorch

SQL

C++

Time Series modeling

Tableau

Power BI

Google Cloud Platform

Snowflake

ETL/ELT pipelines

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field

Tools

Tableau

Power BI

Snowflake

Google Cloud Platform

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 by a 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

This is hybrid role based in Houston, TX

About the job you're considering

Capgemini is seeking a Data Scientist with expertise in Machine Learning, Time Series Analytics, and Cloud Data Platforms. The ideal candidate will develop advanced analytical models, build data pipelines, and deliver actionable business insights using modern AI and analytics technologies.

Your Role

• Develop machine learning and predictive analytics models.
• Build and maintain ETL/ELT workflows and data pipelines.
• Perform data extraction, transformation, and loading from multiple sources.
• Develop time series forecasting and statistical models.
• Create dashboards and reports using Tableau and Power BI.
• Utilize Python, PyTorch, C++, SQL, Snowflake, and Google Cloud for analytics solutions.
• Collaborate with business and technology teams to deliver data-driven insights.
• Perform model testing, validation, and performance optimization.
• Support data quality, governance, and AI/ML deployment initiatives.

Your skills and experience

• 4+ years of experience in Data Science, Machine Learning, or Analytics.
• Strong expertise in Python, PyTorch, SQL, and C++.
• Experience with Time Series modeling and forecasting.
• Hands‑on experience with Tableau and Power BI.
• Experience with Snowflake and Google Cloud Platform (GCP).
• Strong understanding of ETL/ELT processes and data pipelines.
• Experience with machine learning model development and deployment.
• Strong analytical, problem‑solving, and communication skills.
• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

#LI-SD1

The base compensation range for this role in the posted location is $43,984 to $105,600

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.

• 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.