CPT Cloud Data Engineer Jobs
Cloud Data Engineer CPT jobs let F-1 students apply pipeline design, ETL workflows, and cloud platform skills directly to employer projects while enrolled. Your DSO must authorize CPT before your start date, and the role must connect to your degree program. Part-time CPT keeps your OPT eligibility intact after graduation.
See All CPT Cloud Data Engineer JobsOverview
Showing 5 of 52+ Cloud Data Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 52+ Cloud Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Cloud Data Engineer roles.
Get Access To All JobsWho we are:
Farm Credit Bank of Texas is a $38.9 billion wholesale bank that has been financing agriculture and rural America for over 100 years. Headquartered in Austin, Texas, we provide funding and services to rural lending associations in five states, and we are active in the nation’s capital markets.
While you may not be familiar with our name, Farm Credit Bank of Texas plays a critical role in supporting the businesses that make it possible for America to maintain access to an affordable and safe food supply, an industry which is one of the most innovative and evolving of our time. And while you help us deliver on our mission, we deliver on our commitment to you as a valued employee by providing competitive compensation, generous health and wellness benefits packages and an attractive hybrid workplace located along the bluffs of the Colorado River just minutes west of downtown Austin.
We seek out top talent in their fields, whether it be technology, finance, accounting, credit, human resources, or other administrative functions, and welcome you to join us in our mission to feed the world.
Position Description:
The Data Engineer Intern supports the enterprise Cloud Data Platform team, working under the guidance of the Director, Data Architecture & AI Toolkit. This role is designed for a Master’s-level Computer Science student seeking hands-on experience building, enhancing, and innovating small tools, utilities, and platform components across data engineering, analytics enablement, and ML/AI workflows.
The intern will contribute to production-adjacent engineering work, focusing on automation, platform utilities, data pipelines, quality checks, and AI-assisted tooling that improve developer productivity, data reliability, and platform efficiency.
Day-to Day-Duties and Responsibilities:
- Assist in the design and development of data pipelines, ingestion utilities, and transformation logic on cloud data platforms (Databricks, Azure, etc)
- Build small internal tools and utilities to support platform operations, developer experience, and governance automation
- Assist in implementing data quality scorecard framework covering data validation, reconciliation, and quality checks
- Experiment with AI-assisted tooling, such as metadata enrichment, data quality recommendations, or intelligent monitoring prototypes
- Collaborate with platform and analytics teams on proof-of-concepts involving ML or GenAI capabilities
- Support implementation of bronze / silver / gold style data processing patterns under senior engineer guidance
- Develop reusable scripts, libraries, and utilities to simplify common platform tasks
- Assist with automation for monitoring, validation, data quality checks, and operational reporting
- Contribute to CI/CD pipelines, configuration scripts, and deployment automation where applicable
- Support development of data preparation and feature engineering utilities for ML and AI use cases
- Gain exposure to data platform operations, including incident analysis, performance tuning, and cost optimization activities
- Help document testing approaches and quality metrics
- Create and maintain technical documentation, diagrams, and runbooks for tools and utilities developed
- Present work outcomes and learnings to the platform engineering team
Learning & Development Objectives:
- Develop hands-on experience with modern cloud data platforms
- Learn enterprise-grade data engineering, operational, and governance practices
- Gain exposure to real-world ML/AI enablement within a regulated, production environment
- Build a strong foundation for a future full-time data engineer or platform engineer role
What You Bring to the Team:
Our ideal candidate lives within a commutable distance from our office in Austin, Texas and willing to work onsite.
It is an important role that covers many skills. This position requires:
- Strong foundation in Python and SQL
- Familiarity with data engineering concepts such as ETL/ELT, data modeling, and batch & stream processing
- Exposure to cloud platforms (Databricks, Azure, AWS, or GCP) and modern data tools
- Detailed understanding of ML concepts such as feature engineering, training pipelines, or model inputs is a plus
- Experience using Git and collaborative development workflows
- Strong analytical and problem-solving skills
- Curiosity and willingness to learn complex data and platform concepts
- Ability to work independently on well-defined tasks while collaborating with senior engineers
- Ability to collaborate and excel in complex, cross-functional teams involving data engineers, business analysts, and stakeholders
- Clear written and verbal communication skills
- Attention to detail and quality-focused mindset
Education:
- Currently pursuing a Master’s degree in Computer Science, Data Science, Software Engineering, or related field
- OR recently completed a Master’s degree in Computer Science or a related field and eligible to work in the U.S. under Optional Practical Training (OPT)
Important note: We care about your hiring process and take it seriously. A real person will review your applications, meaning response timelines may vary. The interviewing process at Farm Credit Bank of Texas may include phone calls and emails, on-site interviews, and requests for portfolios or demonstrations of work. We cannot personally follow-up with each applicant, and we will do our best to create a professional, respectful, and thorough process for candidates with whom we identify as a potential fit.
A/EOE/M/F/D/V
LI-Onsite
Who we are:
Farm Credit Bank of Texas is a $38.9 billion wholesale bank that has been financing agriculture and rural America for over 100 years. Headquartered in Austin, Texas, we provide funding and services to rural lending associations in five states, and we are active in the nation’s capital markets.
While you may not be familiar with our name, Farm Credit Bank of Texas plays a critical role in supporting the businesses that make it possible for America to maintain access to an affordable and safe food supply, an industry which is one of the most innovative and evolving of our time. And while you help us deliver on our mission, we deliver on our commitment to you as a valued employee by providing competitive compensation, generous health and wellness benefits packages and an attractive hybrid workplace located along the bluffs of the Colorado River just minutes west of downtown Austin.
We seek out top talent in their fields, whether it be technology, finance, accounting, credit, human resources, or other administrative functions, and welcome you to join us in our mission to feed the world.
Position Description:
The Data Engineer Intern supports the enterprise Cloud Data Platform team, working under the guidance of the Director, Data Architecture & AI Toolkit. This role is designed for a Master’s-level Computer Science student seeking hands-on experience building, enhancing, and innovating small tools, utilities, and platform components across data engineering, analytics enablement, and ML/AI workflows.
The intern will contribute to production-adjacent engineering work, focusing on automation, platform utilities, data pipelines, quality checks, and AI-assisted tooling that improve developer productivity, data reliability, and platform efficiency.
Day-to Day-Duties and Responsibilities:
- Assist in the design and development of data pipelines, ingestion utilities, and transformation logic on cloud data platforms (Databricks, Azure, etc)
- Build small internal tools and utilities to support platform operations, developer experience, and governance automation
- Assist in implementing data quality scorecard framework covering data validation, reconciliation, and quality checks
- Experiment with AI-assisted tooling, such as metadata enrichment, data quality recommendations, or intelligent monitoring prototypes
- Collaborate with platform and analytics teams on proof-of-concepts involving ML or GenAI capabilities
- Support implementation of bronze / silver / gold style data processing patterns under senior engineer guidance
- Develop reusable scripts, libraries, and utilities to simplify common platform tasks
- Assist with automation for monitoring, validation, data quality checks, and operational reporting
- Contribute to CI/CD pipelines, configuration scripts, and deployment automation where applicable
- Support development of data preparation and feature engineering utilities for ML and AI use cases
- Gain exposure to data platform operations, including incident analysis, performance tuning, and cost optimization activities
- Help document testing approaches and quality metrics
- Create and maintain technical documentation, diagrams, and runbooks for tools and utilities developed
- Present work outcomes and learnings to the platform engineering team
Learning & Development Objectives:
- Develop hands-on experience with modern cloud data platforms
- Learn enterprise-grade data engineering, operational, and governance practices
- Gain exposure to real-world ML/AI enablement within a regulated, production environment
- Build a strong foundation for a future full-time data engineer or platform engineer role
What You Bring to the Team:
Our ideal candidate lives within a commutable distance from our office in Austin, Texas and willing to work onsite.
It is an important role that covers many skills. This position requires:
- Strong foundation in Python and SQL
- Familiarity with data engineering concepts such as ETL/ELT, data modeling, and batch & stream processing
- Exposure to cloud platforms (Databricks, Azure, AWS, or GCP) and modern data tools
- Detailed understanding of ML concepts such as feature engineering, training pipelines, or model inputs is a plus
- Experience using Git and collaborative development workflows
- Strong analytical and problem-solving skills
- Curiosity and willingness to learn complex data and platform concepts
- Ability to work independently on well-defined tasks while collaborating with senior engineers
- Ability to collaborate and excel in complex, cross-functional teams involving data engineers, business analysts, and stakeholders
- Clear written and verbal communication skills
- Attention to detail and quality-focused mindset
Education:
- Currently pursuing a Master’s degree in Computer Science, Data Science, Software Engineering, or related field
- OR recently completed a Master’s degree in Computer Science or a related field and eligible to work in the U.S. under Optional Practical Training (OPT)
Important note: We care about your hiring process and take it seriously. A real person will review your applications, meaning response timelines may vary. The interviewing process at Farm Credit Bank of Texas may include phone calls and emails, on-site interviews, and requests for portfolios or demonstrations of work. We cannot personally follow-up with each applicant, and we will do our best to create a professional, respectful, and thorough process for candidates with whom we identify as a potential fit.
A/EOE/M/F/D/V
LI-Onsite
See all 52+ CPT Cloud Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new CPT Cloud Data Engineer Jobs.
Get Access To All JobsCloud Data Engineer CPT: Frequently Asked Questions
Does a Cloud Data Engineer role qualify for CPT authorization?
Yes, if the role directly relates to your degree program and your school's DSO confirms the academic connection. Cloud Data Engineer positions typically involve data pipeline development, ETL processes, and cloud platform work that maps clearly to computer science, data science, or information systems curricula. Bring the job description to your DSO appointment to confirm the fit before you accept an offer.
Can I do CPT at a remote Cloud Data Engineer job?
Remote work is permitted for CPT as long as your employer is a U.S.-based entity and the work is properly authorized by your DSO. The physical location of your desk doesn't affect your CPT status. Your I-20 will list the employer, so make sure the company name on your offer letter exactly matches what your DSO records.
How do I find Cloud Data Engineer employers who sponsor F-1 students?
Search Migrate Mate to browse Cloud Data Engineer roles at employers with verified DOL filing history, so you're targeting companies that have sponsored F-1 and H-1B visa workers before. Employers who regularly file Labor Condition Applications for data engineering roles are more likely to understand your CPT documentation requirements and support the authorization process.
What happens to my CPT if I switch from part-time to full-time mid-semester?
Switching CPT status mid-semester requires a new DSO authorization and an updated I-20. You can't work full-time under a part-time CPT authorization. The change also matters for OPT: any full-time CPT weeks count toward the 12-month threshold that would eliminate your post-graduation OPT eligibility, so track your cumulative hours carefully.
Do Cloud Data Engineer CPT jobs count toward STEM OPT qualification?
CPT itself doesn't affect your STEM OPT eligibility, but your degree must be on the STEM Designated Degree Program List for you to apply for the 24-month STEM OPT extension after graduation. Degrees in computer science, information technology, and data science typically qualify. Confirm your specific program's CIP code with your DSO before assuming STEM OPT is available to you.