CPT Data Engineering Manager Jobs
Data Engineering Manager roles involve leading teams that build and maintain large-scale data pipelines, warehouses, and infrastructure systems. CPT authorization for this position requires your DSO to confirm the work directly integrates with your enrolled program, typically a graduate degree in data science, computer science, or information systems.
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Get Access To All JobsOverview:
We are seeking a highly motivated Data Engineering Intern to join our Data Engineering group within our Artificial Intelligence team. The ideal candidate is passionate about data engineering, analytics, data exploration and leveraging AI and has a strong desire to learn and develop their skills. As a Data Engineering Intern, you will work with experienced Data Engineers in developing and deploying data pipelines in the cloud.
Responsibilities:
- Build data pipelines in the cloud leveraging Python, Spark and SQL in a Databricks platform.
- Help with building data and analytics PoCs in Databricks.
- Help with ad-hoc data analysis of various data sources including project management data from jira and other sources.
- Help the team with documentation of data quality checks, access controls and data governance protocols.
- Conceptual understanding of fundamental machine learning concepts either from your degree or self-learning.
- Help the team with putting a process in place for documentation of data assets to make them more discoverable.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
QUALIFICATIONS
- Required: Currently in your junior or senior year studying toward a Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Math, Economics, or Engineering.
- Preferred: Pursuing Masters or PhD degree in Data Science, Analytics, Computer Science, Statistics, Math.
- Excellent oral and written communication skills.
- Interested in collaborating on a large team with other data science practitioners on innovative projects.
MENTAL REQUIREMENTS:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
PHYSICAL REQUIREMENTS AND WORKING CONDITIONS:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
COMPENSATION:
- Base compensation ranges from $21.00 to $30.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Date of posting: 9/17/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 11/17/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
LI-DNP
LI-LL1
intern
remote
Overview:
We are seeking a highly motivated Data Engineering Intern to join our Data Engineering group within our Artificial Intelligence team. The ideal candidate is passionate about data engineering, analytics, data exploration and leveraging AI and has a strong desire to learn and develop their skills. As a Data Engineering Intern, you will work with experienced Data Engineers in developing and deploying data pipelines in the cloud.
Responsibilities:
- Build data pipelines in the cloud leveraging Python, Spark and SQL in a Databricks platform.
- Help with building data and analytics PoCs in Databricks.
- Help with ad-hoc data analysis of various data sources including project management data from jira and other sources.
- Help the team with documentation of data quality checks, access controls and data governance protocols.
- Conceptual understanding of fundamental machine learning concepts either from your degree or self-learning.
- Help the team with putting a process in place for documentation of data assets to make them more discoverable.
This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti’s needs and requirements of the internship evolve.
QUALIFICATIONS
- Required: Currently in your junior or senior year studying toward a Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Math, Economics, or Engineering.
- Preferred: Pursuing Masters or PhD degree in Data Science, Analytics, Computer Science, Statistics, Math.
- Excellent oral and written communication skills.
- Interested in collaborating on a large team with other data science practitioners on innovative projects.
MENTAL REQUIREMENTS:
- Communicating with others to exchange information.
- Assessing the accuracy, neatness, and thoroughness of the work assigned.
PHYSICAL REQUIREMENTS AND WORKING CONDITIONS:
- Remaining in a stationary position, often standing or sitting for prolonged periods.
- Repeating motions that may include the wrists, hands, and/or fingers.
- Must be able to provide a dedicated, secure work area.
- Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
- No adverse environmental conditions are expected.
COMPENSATION:
- Base compensation ranges from $21.00 to $30.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs.
Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.
Date of posting: 9/17/2026
Applications are assessed on a rolling basis. We anticipate that the application window will close on 11/17/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.
LI-DNP
LI-LL1
intern
remote
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Get Access To All JobsData Engineering Manager CPT: Frequently Asked Questions
Does a Data Engineering Manager role qualify for CPT authorization?
Yes, if your school's DSO confirms the position is an integral part of your curriculum. Graduate programs in data science, computer science, or information systems typically have enough curricular overlap with pipeline architecture, distributed systems, and team management to support CPT authorization. You'll need a written offer letter and a program-specific justification for your DSO to approve it.
Can I do CPT as a Data Engineering Manager if the role is fully remote?
Remote work doesn't disqualify you from CPT, but your CPT authorization is tied to your school's location for SEVIS reporting purposes. Your DSO will authorize the role based on your enrollment status, not your physical work location. Confirm with your DSO how your school handles remote CPT positions, since some institutions require documentation of where you'll physically work.
How do I find Data Engineering Manager employers who have hired CPT or F-1 students before?
Migrate Mate is the most direct way to identify employers with verified DOL filing history for data engineering roles. Past LCA filings indicate the employer understands work-authorization requirements and has sponsored candidates in similar positions. Employers with that history are significantly easier to work with on CPT paperwork than those encountering it for the first time.
What happens to my CPT if the Data Engineering Manager role changes significantly after I start?
If your responsibilities shift substantially, such as moving from hands-on pipeline engineering to pure people management, your DSO may need to reassess whether the updated role still qualifies as an integral part of your curriculum. Notify your DSO proactively if your scope changes. Continuing work under CPT that no longer aligns with your authorized position puts your F-1 status at risk.
Does accepting a full-time Data Engineering Manager CPT role affect my OPT eligibility?
Full-time CPT totaling 12 or more cumulative months eliminates your OPT eligibility entirely, including STEM OPT. Part-time CPT, defined as fewer than 20 hours per week, does not affect OPT regardless of duration. If this is a full-time engagement, factor the loss of post-graduation OPT into your longer-term visa planning before accepting.