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 JobsINTRODUCTION
Ameren is a leader in the energy industry, and our transformation toward more clean, renewable energy is also transforming other industries and infrastructure in our communities. As a regional company serving local customers, we not only serve our communities, we're a part of them. This isn't just a job. At Ameren, we invest in you, so you can power the quality of life you want.
Visit our Benefits & Perks Page for more information on benefits provided to regular, full-time employees.
ABOUT THE POSITION
Ameren Missouri delivers electric and natural gas service to residential, commercial, and industrial customers across Missouri. Employees support the safe, reliable, and affordable delivery of energy through operations in power generation, electric and gas distribution, engineering, technology, and business operations. As part of Ameren Missouri, you will have the opportunity to contribute to work that helps power communities and supports the region's economic growth and sustainability efforts.
Available Opportunities:
January-August 2027 Spring Co-Op
Co-Ops will participate in meaningful work activities related to data analytics, reporting, dataset creation, dashboard development, database and data warehouse queries and scripts, data integration, and analysis that helps stakeholders understand their operations and make informed decisions. Co-Ops are assigned a mentor that will guide you through your Co-Op. Coaching and feedback are a key part of your experience. You will have the opportunity to work with a talented, experienced analytics staff while completing your work assignments. You will get exposure to the following technologies:
- Programming Platforms: Microsoft Office, Excel, Power BI, and Databricks
- Tools: SQL, Python, SAS, relational databases, and data warehouses
The Co-Op program provides students with valuable work experience as well as providing Ameren with a source of highly talented candidates for full-time positions.
QUALIFICATIONS
Current student status pursuing a Bachelor's or Master's degree in Data Analytics, Business Analytics, Mathematics, Statistics, Computer Science, Information Systems, Business, or an equivalent computer-related field from an accredited college or university required. A GPA of 2.5 or above is required.
In addition to the above qualifications, the successful candidate will demonstrate:
- Basic knowledge of data visualization, relational databases, writing queries (SQL), and programming or scripting with tools such as Python
- Proficiency with Microsoft Office products, specifically Microsoft Excel, including creating reports, spreadsheets, formulas, lookup tables, graphical analysis, and interpreting tables
- Interest in building, maintaining, and supporting dashboards, reporting models, datasets, and analytics applications such as Power BI
- Ability to organize, integrate, and analyze large quantities of data from multiple sources
- Working analytical skills to address business problems, identify trends, and generate actionable insights
- Ability to document data requirements and work with business users to understand the goal of a project or analysis
- Good time management and prioritization skills, including the ability to clarify priorities, scope, and requirements in ambiguous situations
- Ability to work effectively as part of a team and partner with team members and departments to achieve the best results
- Excellent written and verbal communication skills and ability to articulate analysis, recommendations, and technical concepts clearly
- Creative problem solving, proactive learning, and a detail-oriented approach to producing polished outputs
- Familiarity with Databricks, data warehouses, cloud data platforms, or similar modern data engineering environments (preferred)
- Experience with data analytics software and visualization tools (preferred)
- Project management principles such as scope, deliverables, timeline, and cost/benefit analysis (preferred)
- Data science methodologies and processes (preferred)
EEO STATEMENT
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.
COMPENSATION:
We take into consideration a variety of factors including, but not limited to, skills, abilities, experience, education, credentials, and internal equity when determining the salary offered.
$21.00 - $30.00
If end date is listed, the posting will come down at 12: 00 am on that date:
Monday December 21, 2026
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, disability, genetic information, military service or status, pregnancy, marital status, sexual orientation, gender identity or expression, or any other class, trait, or status protected by law.
INTRODUCTION
Ameren is a leader in the energy industry, and our transformation toward more clean, renewable energy is also transforming other industries and infrastructure in our communities. As a regional company serving local customers, we not only serve our communities, we're a part of them. This isn't just a job. At Ameren, we invest in you, so you can power the quality of life you want.
Visit our Benefits & Perks Page for more information on benefits provided to regular, full-time employees.
ABOUT THE POSITION
Ameren Missouri delivers electric and natural gas service to residential, commercial, and industrial customers across Missouri. Employees support the safe, reliable, and affordable delivery of energy through operations in power generation, electric and gas distribution, engineering, technology, and business operations. As part of Ameren Missouri, you will have the opportunity to contribute to work that helps power communities and supports the region's economic growth and sustainability efforts.
Available Opportunities:
January-August 2027 Spring Co-Op
Co-Ops will participate in meaningful work activities related to data analytics, reporting, dataset creation, dashboard development, database and data warehouse queries and scripts, data integration, and analysis that helps stakeholders understand their operations and make informed decisions. Co-Ops are assigned a mentor that will guide you through your Co-Op. Coaching and feedback are a key part of your experience. You will have the opportunity to work with a talented, experienced analytics staff while completing your work assignments. You will get exposure to the following technologies:
- Programming Platforms: Microsoft Office, Excel, Power BI, and Databricks
- Tools: SQL, Python, SAS, relational databases, and data warehouses
The Co-Op program provides students with valuable work experience as well as providing Ameren with a source of highly talented candidates for full-time positions.
QUALIFICATIONS
Current student status pursuing a Bachelor's or Master's degree in Data Analytics, Business Analytics, Mathematics, Statistics, Computer Science, Information Systems, Business, or an equivalent computer-related field from an accredited college or university required. A GPA of 2.5 or above is required.
In addition to the above qualifications, the successful candidate will demonstrate:
- Basic knowledge of data visualization, relational databases, writing queries (SQL), and programming or scripting with tools such as Python
- Proficiency with Microsoft Office products, specifically Microsoft Excel, including creating reports, spreadsheets, formulas, lookup tables, graphical analysis, and interpreting tables
- Interest in building, maintaining, and supporting dashboards, reporting models, datasets, and analytics applications such as Power BI
- Ability to organize, integrate, and analyze large quantities of data from multiple sources
- Working analytical skills to address business problems, identify trends, and generate actionable insights
- Ability to document data requirements and work with business users to understand the goal of a project or analysis
- Good time management and prioritization skills, including the ability to clarify priorities, scope, and requirements in ambiguous situations
- Ability to work effectively as part of a team and partner with team members and departments to achieve the best results
- Excellent written and verbal communication skills and ability to articulate analysis, recommendations, and technical concepts clearly
- Creative problem solving, proactive learning, and a detail-oriented approach to producing polished outputs
- Familiarity with Databricks, data warehouses, cloud data platforms, or similar modern data engineering environments (preferred)
- Experience with data analytics software and visualization tools (preferred)
- Project management principles such as scope, deliverables, timeline, and cost/benefit analysis (preferred)
- Data science methodologies and processes (preferred)
EEO STATEMENT
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.
COMPENSATION:
We take into consideration a variety of factors including, but not limited to, skills, abilities, experience, education, credentials, and internal equity when determining the salary offered.
$21.00 - $30.00
If end date is listed, the posting will come down at 12: 00 am on that date:
Monday December 21, 2026
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, ethnicity, age, disability, genetic information, military service or status, pregnancy, marital status, sexual orientation, gender identity or expression, or any other class, trait, or status protected by law.
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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.