Data Engineering Intern - ATC

New Kensington, PA, US • Posted 7 hours ago • Updated 7 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Accessibility
  • Analytics
  • Quality Assurance
  • Process Automation
  • Decision-making
  • Manufacturing Operations
  • Presentations
  • Computer Networking
  • Mentorship
  • Professional Development
  • Data Collection
  • Auditing
  • UI
  • Testing
  • Database Migration
  • Data Management
  • Business Data
  • Reporting
  • Workflow
  • Business Process
  • Analytical Skill
  • Conflict Resolution
  • Problem Solving
  • Advanced Analytics
  • Optimization
  • Process Modeling
  • Data Engineering
  • Computer Science
  • Computer Engineering
  • Science
  • Social Sciences
  • Statistics
  • Quantitative Analysis
  • Data Science
  • Pandas
  • R
  • Python
  • Database
  • Data Integration
  • Data Analysis
  • Software Development
  • Manufacturing
  • Leadership
  • Research
  • Aerospace
  • Honesty
  • Accountability
  • Partnership
  • Operational Excellence
  • Continuous Improvement
  • Innovation
  • Training And Development
  • Collaboration
  • Law
  • ITAR
  • Regulatory Compliance
  • Research and Development
  • Bridging

Summary

Job Description

This full-time summer internship includes a minimum 10-week assignment and offers a competitive monthly salary. Interns may also be eligible for company-provided housing or a housing stipend based on individual needs. At Arconic, interns are valued contributors who work on meaningful projects, collaborate with leaders across the business, and gain practical experience in a dynamic manufacturing environment. Each intern is paired with both a manager and mentor to support their professional growth throughout the program. As a Data Engineering Intern, you will support data engineering, analytics, and digital transformation initiatives that drive innovation across research, development, and manufacturing operations within the Fabrication Technology team by improving the quality, accessibility, and integration of data used in research, development, and operational projects. You'll gain experience in data engineering, analytics, application testing, process automation, and digital solutions that support data-driven decision making.

Internship Highlights:
  • Real-world projects with measurable business impact.
  • Exposure to manufacturing operations and industrial technologies.
  • Opportunities to present project results to leadership and participate in the company-wide Intern Presentation Challenge.
  • Networking opportunities with leaders, executives, and fellow interns.
  • Plant tours, volunteer activities, leadership sessions, and social events.
  • Personalized mentorship and professional development.

Responsibilities

In this role, you will:
  • Collect, validate, organize, and cleanse data from multiple sources.
  • Improve data collection and entry processes to support automation efforts.
  • Verify data accuracy through audits and quality checks.
  • Support development and testing of R Shiny applications and analytical tools.
  • Conduct UI testing, identify issues, and document findings.
  • Assist with database migration, integration, and data management projects.
  • Support the digitization and organization of records and business data.
  • Help automate reporting, workflows, and business processes.
  • Test and validate Python-based tools and simulation outputs.
  • Collaborate with engineers, data scientists, and technical teams on research and operational projects.
  • Apply analytical and problem-solving skills to real-world business challenges.
  • Present project findings and recommendations to stakeholders and leadership at the conclusion of the internship
  • Gain exposure to advanced analytics, optimization, process modeling, and digital transformation initiatives.

Qualifications

Basic Qualifications:
  • Pursuing an undergraduate or graduate degree in Data Science, Data Engineering, Statistics, Computer Science, Computer Engineering, Information Science, or Social Sciences with a strong emphasis in Statistics, Quantitative Analysis, or Data Science
  • Minimum cumulative GPA of 3.0.
  • Expected graduation between August 2027 and May 2028.
  • Experience with and programming in Tidyverse (R) and/or Pandas (Python).
  • Experience cleaning, analyzing, and visualizing data using R or Python.
  • Employees must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
  • This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. 730, et seq.) and/or the International Traffic in Arms Regulations (ITAR). Authorizations from the relevant government agency may be required to meet export control compliance requirements.

Preferred Qualifications:
  • Familiarity with data organization and tidy data principles.
  • Experience with databases, data pipelines, or data integration projects.
  • Previous internship, research, or work experience in data analysis, engineering, software development, or manufacturing.
  • Participation in extracurricular, leadership, research, community service, or student organization activities.
  • Ability to work independently and collaboratively in a team environment.
  • Demonstrated interest in innovation, technology, and continuous improvement.

About Us

Arconic Corporation is a leading provider of aluminum sheet, plate and extrusions, as well as innovative architectural products, that advance the automotive, aerospace, commercial transportation, industrial and building and construction markets. Building on more than a century of innovation, Arconic helps to transform the way we fly, drive, and build.

We live our core values and commit to delivering sustainable value to our customers, our employees, our communities and our stakeholders.

At Arconic, we:

Act With Integrity : We lead with respect, honesty, transparency and accountability.

Safeguard our Future : We protect and improve the health and safety of our employees, communities and environment.

Grow Stronger Together : We cultivate an inclusive and diverse culture that advocates for equity.

Earn Customer Loyalty : We build customer partnerships through best-in-class products and service.

Drive Operational Excellence : We pursue continuous improvement through innovation, agility, people development and collaboration.

Create Value : We achieve success by generating and growing value for our stakeholders.

This position is subject to Export Control Law: This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. 730, et seq.) and/or the International Traffic in Arms Regulations (ITAR). Authorizations from the relevant government agency may be required to meet export control compliance requirements.

United States EEO Statement: Arconic Corporation is an equal opportunity employer. We take action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

About the Team

Arconic Technology Center (ATC) is the central hub for research and development at Arconic. The campus is located along the Allegheny River in the birthplace of aluminum, New Kensington, Pennsylvania. Only 18 miles northeast of Pittsburgh, in Westmoreland County, the area offers residents a suburban feel while being in close proximity to a large metropolis. Pittsburgh, the City of Bridges, offers a zoo, aviary, aquarium, vast dining choices, professional sports, as well as many historic and entertainment opportunities. Whether you love the city life or prefer a quiet, rural setting, this area has something for everyone. Come see this vibrant, creative area that continues to honor the history of the community.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX1c5bb4
  • Position Id: 9d3003fb39c1f987f18500133180afe3
  • Posted 7 hours ago
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