Summer 2027 Data Analyst enGen Undergraduate Intern
Reads like a Data Governance role: data quality and governance.
Pittsburgh PA, 15222, PAP, Penn Avenue Place
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Part-time — employment source
Employment type in the employer’s posting: Part time
From the employer’s posting
Before you apply
- Eligibility
At this time, we do not offer visa sponsorship for this role. — eligibility source
Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role.
Read the full posting
What you’ll work on
Full postingAnalyze data and write SQL-based queries and reports
Support data engineering and DataOps initiatives
Assist with data quality and observability efforts
Take part in AI-related projects
Research technical solutions and collaborate with cross-functional teams
From the employer’s posting
analyzing data, developing SQL-based queries and reporting solutions
supporting data engineering and DataOps initiatives
assisting with data quality and observability efforts
participating in AI-related projects
researching technical solutions, and collaborating with cross-functional teams
What you’ll bring
All qualificationsCore experience
- Full or part-time enrollment in an accredited college or university baccalaureate program
- Must be authorized to work in the U.S. independently
Preferred experience
- Experience with SQL and writing database queries
- Experience with or coursework in Python programming
Qualification wording
Full or part-time enrollment in an accredited college or university baccalaureate program.
Applicants must be authorized to work in the U.S. independently.
Experience with SQL and writing database queries.
Experience with or coursework in Python programming.
Tools in this posting
- Python
- SQL
- dbt
Source — Tool mentions in context
- Experience with SQL and writing database queries. - Experience with or coursework in Python programming. ESSENTIAL JOB FUNCTIONS 1. Communicate effectively while interacting directly with colleagues, clientele, and/or other internal or external constituencies in the planning of assignments and the resolution of day-to-day operational problems.
The program provides hands-on training and exposure to a variety of career paths within Data Analytics, Data Engineering, Data Operations, Artificial Intelligence, Information Management, and Business Intelligence. Interns will collaborate across multiple data teams to support data-driven decision-making, improve operational processes, and help deliver innovative solutions that drive business value. Typical responsibilities include analyzing data, developing SQL-based queries and reporting solutions, supporting data engineering and DataOps initiatives, assisting with data quality and observability efforts, participating in AI-related projects, researching technical solutions, and collaborating with cross-functional teams to support enterprise data platforms. Through mentorship, project-based learning, and real-world experience, participants will strengthen their analytical, technical, and business skills while building a strong foundation for future careers in data and technology. SUMMARY OF JOB RESPONSIBILITIES
- Currently pursuing a degree in Information Science & Technology (IST), Computer Science, Management Information Systems (MIS), Data Analytics, Data Science, or a related technology discipline. - Experience with SQL and writing database queries. - Experience with or coursework in Python programming.
The Summer 2027 Data Analyst enGen Undergraduate Internship provides students with an opportunity to gain practical, hands-on experience supporting enterprise data platforms, data operations, analytics, and AI-driven initiatives within enGen. This internship is designed to develop the next generation of data and technology professionals through direct exposure to modern DataOps practices, data engineering concepts, analytics platforms, and enterprise data management solutions. As a member of the DataOps Platform team, the intern will work alongside data engineers, data analysts, platform administrators, architects, and business stakeholders to support strategic data initiatives and enterprise business projects. Participants will gain valuable experience working with industry-leading data technologies, including Atlan, Monte Carlo, Starburst, and dbt, while contributing to efforts that improve data accessibility, quality, governance, observability, and business intelligence capabilities. The program provides hands-on training and exposure to a variety of career paths within Data Analytics, Data Engineering, Data Operations, Artificial Intelligence, Information Management, and Business Intelligence. Interns will collaborate across multiple data teams to support data-driven decision-making, improve operational processes, and help deliver innovative solutions that drive business value.
Posting record
Report an errorActively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 26, 2026 · 3 days ago
- Recorded sightings
- 9
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
Company :
enGenJob Description :
Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role.
The Summer 2027 Data Analyst enGen Undergraduate Internship provides students with an opportunity to gain practical, hands-on experience supporting enterprise data platforms, data operations, analytics, and AI-driven initiatives within enGen. This internship is designed to develop the next generation of data and technology professionals through direct exposure to modern DataOps practices, data engineering concepts, analytics platforms, and enterprise data management solutions.
As a member of the DataOps Platform team, the intern will work alongside data engineers, data analysts, platform administrators, architects, and business stakeholders to support strategic data initiatives and enterprise business projects. Participants will gain valuable experience working with industry-leading data technologies, including Atlan, Monte Carlo, Starburst, and dbt, while contributing to efforts that improve data accessibility, quality, governance, observability, and business intelligence capabilities.
The program provides hands-on training and exposure to a variety of career paths within Data Analytics, Data Engineering, Data Operations, Artificial Intelligence, Information Management, and Business Intelligence. Interns will collaborate across multiple data teams to support data-driven decision-making, improve operational processes, and help deliver innovative solutions that drive business value.
Typical responsibilities include analyzing data, developing SQL-based queries and reporting solutions, supporting data engineering and DataOps initiatives, assisting with data quality and observability efforts, participating in AI-related projects, researching technical solutions, and collaborating with cross-functional teams to support enterprise data platforms. Through mentorship, project-based learning, and real-world experience, participants will strengthen their analytical, technical, and business skills while building a strong foundation for future careers in data and technology.
SUMMARY OF JOB RESPONSIBILITIES
This job has the goal of providing the opportunity to acquire practical experience through direct exposure to the related business line(s) and to develop the next generation of diverse business professionals. To that end, the program will provide hands-on training and experience in the business line, expose the various career opportunities in the business line and related areas, and prepare participants for positions in the business.
Typical responsibilities include, providing services to the day-to-day operating objectives of the assigned area, participating in projects and programs appropriate to the needs of the assigned area, participating in the planning and implementation of projects and initiatives, conducting research and reporting including recommendations or proposals for action.
REQUIRED QUALIFICATIONS
- Full or part-time enrollment in an accredited college or university baccalaureate program.
PREFERRED QUALIFICATIONS
- Currently pursuing a degree in Information Science & Technology (IST), Computer Science, Management Information Systems (MIS), Data Analytics, Data Science, or a related technology discipline.
- Experience with SQL and writing database queries.
- Experience with or coursework in Python programming.
ESSENTIAL JOB FUNCTIONS
1. Communicate effectively while interacting directly with colleagues, clientele, and/or other internal or external constituencies in the planning of assignments and the resolution of day-to-day operational problems.
2. Under supervision, provide entry-level professional services as appropriate to the day-to-day operating objectives of the area. Receives guidance, training, and mentoring from senior personnel in planning and carrying out activities and assignments.
3. Undertake and/or participates in projects and programs designed to develop professional skills and expertise appropriate to the needs of the organization.
4. Participate in the planning and implementation of unit projects and initiatives within area of expertise and ability.
5. As specifically requested by management, conduct research and reporting inclusive of recommendations or alternative proposals for action.
6. Undertake related studies or enrichment programs as appropriate to the specific objectives of the operating unit.
7. Perform miscellaneous job-related duties as assigned.
Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.
Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies
As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.
Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Pittsburgh PA, 15222, PAP, Penn Avenue Place
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- Work authorization
enGenJob Description : Applicants must be authorized to work in the U.S. independently. At this time, we do not offer visa sponsorship for this role. The Summer 2027 Data Analyst enGen Undergraduate Internship provides students with an opportunity to gain practical, hands-on experience supporting enterprise data platforms, data operations, analytics, and AI-driven initiatives within enGen. This internship is designed to develop the next generation of data and technology professionals through direct exposure to modern DataOps practices, data engineering concepts, analytics platforms, and enterprise data management solutions.
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