CPT Data Engineer Jobs
Data Engineer CPT roles let F-1 students apply pipeline design, SQL, and cloud infrastructure skills to real production environments while earning academic credit. Your DSO must authorize each position before you start, and the work must directly align with your enrolled program, typically computer science, data science, or information systems.
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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 532+ CPT Data Engineer Jobs
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Get Access To All JobsData Engineer CPT: Frequently Asked Questions
Does a Data Engineer role qualify for CPT authorization?
Yes, if the position is directly tied to your enrolled program. Roles involving ETL pipeline development, data modeling, SQL query optimization, or cloud infrastructure work typically satisfy the integral curriculum requirement for computer science and data science programs. Your DSO will review the offer letter against your academic plan to confirm eligibility before issuing authorization.
Can I do CPT for a Data Engineer contract or freelance project?
CPT can cover contract arrangements, but the position must have a definable start and end date tied to your academic term, and your employer must be a clearly identified legal entity, not an informal project. Your DSO will need a formal offer letter or statement of work on company letterhead. Self-directed freelance work without an identified employer generally does not qualify.
How do I find Data Engineer employers who are open to hiring CPT students?
Use Migrate Mate to search Data Engineer roles filtered by employers with verified DOL Labor Condition Application filing history. This narrows your list to companies that have already navigated work authorization for international employees, which signals that their HR teams understand CPT documentation requirements and won't be caught off guard by your authorization paperwork.
Does using 12 months of full-time CPT affect my OPT eligibility after graduation?
Yes. USCIS rules state that 12 or more months of full-time CPT eliminates your eligibility for OPT entirely. Part-time CPT, defined as 20 hours or fewer per week, does not count toward that threshold regardless of how many semesters you use it. If you're planning to stay in the U.S. after graduation, structuring CPT as part-time protects your OPT eligibility.
What should a CPT authorization request for a Data Engineer role include?
Your DSO typically needs an offer letter naming the employer, your specific job title and duties, your exact start and end dates, and your weekly hours. For Data Engineer roles, the duties section should reference specific technical responsibilities, pipeline development, data warehouse management, cloud platform work, rather than generic language, since vague descriptions often trigger DSO follow-up requests and delay authorization.