Entry Level Cloud Data Engineer Jobs
New grad cloud data engineer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a lengthy resume. Most openings mix on-site and remote settings across Technology & Software, with employers like Rippling, Capgemini, and Contentstack hiring at this level now.
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INTRODUCTION
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 organizations unlock the value of technology and build a more sustainable, more inclusive world.
ABOUT THE JOB YOU'RE CONSIDERING
We are seeking an experienced Salesforce Data Cloud Architect to join our DCX team and support an enterprise client.
YOUR ROLE
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Lead the architecture, support, and continuous enhancement of Salesforce Data Cloud (Data 360), ensuring a scalable, secure, and governed customer data platform.
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Design, configure, and support Data Cloud integrations, including Salesforce Data Connectors, Databricks connectors, and Zero-Copy Query Federation across enterprise data sources.
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Manage Data Streams, Data Lake Objects (DLOs), Data Model Objects (DMOs), data harmonization, and identity resolution processes to create unified customer profiles.
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Define and implement data governance, security, access controls, consent management, and operational support procedures for production environments.
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Partner with Marketing Cloud Next, Salesforce, analytics, and business teams to enable audience segmentation, activation, personalization, and campaign use cases.
YOUR SKILLS AND EXPERIENCE
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Troubleshoot complex production issues related to data ingestion, identity resolution, segmentation, integrations, and downstream activation processes.
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Collaborate with architects and developers to support Agentforce use cases leveraging Data Cloud as the trusted customer data foundation.
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Provide technical leadership for future enhancements, solution design reviews, performance optimization, and platform roadmap recommendations.
COMPENSATION
The base compensation range for this role in the posted location is: $82,082-$193,440.
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.
BENEFITS
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:
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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
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Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
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Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
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Life and disability insurance
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Employee assistance programs
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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.
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Entry Level Cloud Data Engineer Jobs: Frequently Asked Questions
How do I get an entry level cloud data engineer job?
Focus on building hands-on cloud skills through personal projects, coursework, or internships on platforms like AWS, Azure, or Google Cloud, and earn at least one entry-level cloud certification to signal readiness. Employers hiring at this stage look for comfort with SQL, Python, and basic pipeline or ETL concepts, and a GitHub portfolio showing real data work gives your application a concrete edge over candidates who rely on coursework alone.
Which companies hire entry level cloud data engineers?
Companies hiring entry level cloud data engineers right now include Rippling, Capgemini, and Contentstack, based on current listings on Migrate Mate as of September 2026. Both large enterprises building out cloud infrastructure and mid-size technology and analytics firms actively post at this level, making it a broad market for candidates just starting out.
Are there remote entry level cloud data engineer jobs?
Yes, though fully remote roles at the entry level are less common than at senior levels. About 20% of entry level cloud data engineer openings are remote or hybrid as of September 2026, so candidates open to hybrid arrangements will find a wider range of opportunities than those limiting their search to fully remote positions only.
Are these new grad cloud data engineer jobs?
Yes, the listings on this page include new grad, recent graduate, and junior cloud data engineer roles. A new-grad-friendly posting typically welcomes zero to two years of experience, accepts internship or academic project work in place of full-time history, and does not require prior production engineering experience, making a strong portfolio or capstone project a viable substitute for a long resume.
Which industries hire the most entry level cloud data engineers?
Entry Level cloud data engineer roles concentrate in Technology & Software, based on current listings on Migrate Mate as of September 2026. These sectors generate large volumes of data that need structured pipelines and cloud storage solutions, creating consistent demand for junior engineers who can support data infrastructure build-outs even without years of prior experience.