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, Artificial Intelligence, and Investment & Asset Management, with employers like Google, Rippling, and Alithya hiring at this level now.
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Showing 5 of 16+ Entry Level Cloud Data Engineer jobs
Location: Dallas,TX
Role: FT
We are seeking a skilled Salesforce Data Cloud Consultant with strong experience in Customer Data Platforms, segmentation, activation, customer analytics, and zero-copy data architecture. The consultant will be responsible for designing and implementing Data Cloud / CDP solutions that unify customer data, enable customer 360 profiles, support advanced segmentation, and activate audiences across marketing, sales, service, and analytics channels.
The ideal candidate should have hands-on experience with CDP implementation, identity resolution, data modeling, SQL-based customer analytics, RFM analysis, Customer Lifetime Value, and zero-copy or zero-ETL integrations with cloud data platforms such as Snowflake, Databricks, BigQuery, or similar technologies.
This role requires strong consulting skills, the ability to work with business and technical stakeholders, and experience translating customer data use cases into scalable and measurable solutions.
Key responsibilities include:
- Design and implement Salesforce Data Cloud / CDP solutions
- Build customer 360 profiles and identity resolution logic
- Develop audience segmentation and activation strategies
- Implement RFM and CLV-based customer analytics
- Enable segment activation across marketing, CRM, advertising, and analytics platforms
- Design zero-copy / zero-ETL data integration patterns
- Work with cloud data warehouses and data lakes
- Ensure data governance, privacy, consent, and compliance requirements
- Create technical documentation, solution designs, and implementation roadmaps
- Support testing, deployment, training, and post-go-live optimization
- Strong CDP / Data Cloud implementation experience
- Expertise in segmentation activation, RFM analysis, and CLV
- Experience with zero-copy or zero-ETL architecture
- Strong SQL and data modeling skills
- Experience with CRM, marketing automation, and analytics platforms
- Understanding of identity resolution, consent management, and customer data governance
- Strong communication and consulting skills
- Strong experience in Salesforce Marketing Cloud and Salesforce Data Cloud
- Snowflake, Databricks, BigQuery, Redshift, or similar platforms
- Adobe Experience Platform, Segment, Tealium, or Treasure Data
- Tableau, Power BI, Looker, or similar BI tools
- Predictive analytics, churn modeling, propensity modeling, or personalization use cases
Qualifications:
- Bachelor’s degree in computer science, Data Analytics, Information Systems, Marketing Technology, or a related field
- 5+ years of relevant experience in data, martech, CRM, analytics, or consulting
- 2+ years of hands-on CDP / Data Cloud experience
- Salesforce Relevant certifications are preferred
The ideal candidate is a hands-on Salesforce Data Cloud / CDP consultant who understands both the technical and business aspects of customer data. They should be able to design customer data models, build actionable segments, activate audiences across channels, and help organizations improve personalization, retention, conversion, and customer lifetime value while maintaining strong data governance and scalable architecture
fNO5KPxMa1
Location: Dallas,TX
Role: FT
We are seeking a skilled Salesforce Data Cloud Consultant with strong experience in Customer Data Platforms, segmentation, activation, customer analytics, and zero-copy data architecture. The consultant will be responsible for designing and implementing Data Cloud / CDP solutions that unify customer data, enable customer 360 profiles, support advanced segmentation, and activate audiences across marketing, sales, service, and analytics channels.
The ideal candidate should have hands-on experience with CDP implementation, identity resolution, data modeling, SQL-based customer analytics, RFM analysis, Customer Lifetime Value, and zero-copy or zero-ETL integrations with cloud data platforms such as Snowflake, Databricks, BigQuery, or similar technologies.
This role requires strong consulting skills, the ability to work with business and technical stakeholders, and experience translating customer data use cases into scalable and measurable solutions.
Key responsibilities include:
- Design and implement Salesforce Data Cloud / CDP solutions
- Build customer 360 profiles and identity resolution logic
- Develop audience segmentation and activation strategies
- Implement RFM and CLV-based customer analytics
- Enable segment activation across marketing, CRM, advertising, and analytics platforms
- Design zero-copy / zero-ETL data integration patterns
- Work with cloud data warehouses and data lakes
- Ensure data governance, privacy, consent, and compliance requirements
- Create technical documentation, solution designs, and implementation roadmaps
- Support testing, deployment, training, and post-go-live optimization
- Strong CDP / Data Cloud implementation experience
- Expertise in segmentation activation, RFM analysis, and CLV
- Experience with zero-copy or zero-ETL architecture
- Strong SQL and data modeling skills
- Experience with CRM, marketing automation, and analytics platforms
- Understanding of identity resolution, consent management, and customer data governance
- Strong communication and consulting skills
- Strong experience in Salesforce Marketing Cloud and Salesforce Data Cloud
- Snowflake, Databricks, BigQuery, Redshift, or similar platforms
- Adobe Experience Platform, Segment, Tealium, or Treasure Data
- Tableau, Power BI, Looker, or similar BI tools
- Predictive analytics, churn modeling, propensity modeling, or personalization use cases
Qualifications:
- Bachelor’s degree in computer science, Data Analytics, Information Systems, Marketing Technology, or a related field
- 5+ years of relevant experience in data, martech, CRM, analytics, or consulting
- 2+ years of hands-on CDP / Data Cloud experience
- Salesforce Relevant certifications are preferred
The ideal candidate is a hands-on Salesforce Data Cloud / CDP consultant who understands both the technical and business aspects of customer data. They should be able to design customer data models, build actionable segments, activate audiences across channels, and help organizations improve personalization, retention, conversion, and customer lifetime value while maintaining strong data governance and scalable architecture
fNO5KPxMa1
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Find JobsEntry Level Cloud Data Engineer Job Market
Who's Hiring
- Google2
- Rippling2
- Alithya1
- Deloitte1
- M&T Bank1
Top Industries Hiring
- Technology & Software8
- Artificial Intelligence2
- Investment & Asset Management2
- Retail1
- Education1
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 Google, Rippling, and Alithya, based on current listings on Migrate Mate as of July 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 36% of entry level cloud data engineer openings are remote or hybrid as of July 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, Artificial Intelligence, and Investment & Asset Management, based on current listings on Migrate Mate as of July 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.