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Mid Level Computer Science Student Jobs in Lewistown, PA

... computer science and mathematics majors at the undergraduate level. * Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple ...

Research Engineering Interns

State College, PA · On-site

$16.75 - $21.75/hr

... Computer Science, and Computer Engineering students for an internship in the Strategic Systems ... Moderate skill level in any of the following: Python, MATLAB, C, C++, LabView This part-time ...

New

CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with ... Computer programming in one or more of the following: Python, R, Java, C++, or Matlab * Highly ...

New

CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with ... Strong computer science fundamentals: data structures, algorithms, networking, distributed systems ...

New

GTM - Enterprise Architect

Petersburg, PA · On-site

$59.50 - $76.75/hr

New York, NY, Mid-Atlantic Region. Job Summary: The Enterprise Architect plays a key role in ... Bachelor's degree in a related field (e.g., Computer Science, Information Technology, Business ...

Showing results 21-40

Mid Level Computer Science Student information

What types of projects or assignments can a mid level computer science student expect in an internship or entry-level role?

As a mid-level computer science student, you can typically expect to work on real-world projects like developing small features, fixing bugs, or contributing to team codebases under the guidance of more senior engineers. You may also be asked to write unit tests, participate in code reviews, and assist with documentation. These tasks are designed to strengthen your technical skills while giving you exposure to collaborative workflows and industry-standard tools. Additionally, you'll likely have opportunities to attend team meetings and share updates on your progress, helping you build professional communication skills.

What are the key skills and qualifications needed to thrive as a mid level computer science student?

To thrive as a Mid Level Computer Science Student, you need a solid understanding of programming concepts, data structures, algorithms, and mathematics, typically gained through core coursework. Familiarity with languages like Java, Python, or C++, as well as version control systems such as Git, is commonly expected. Strong problem-solving abilities, effective time management, and collaboration skills help students excel in group projects and adapt to new challenges. These skills and qualities are crucial for mastering advanced topics and preparing for internships or industry roles.

What is a mid level computer science student?

Mid level computer science students are individuals who are partway through their undergraduate studies, typically in their second or third year of a bachelor's program. They have completed foundational courses in programming and computer science concepts, and are starting to take more specialized or advanced classes. These students often have some practical experience, such as internships or personal projects, and are building skills that will prepare them for professional roles or further education. They are in a key stage of developing both technical and problem-solving abilities.
Infographic showing various Mid Level Computer Science Student job openings in Lewistown, PA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

Data Engineer - Data Architecture for Data Science & Machine Learning

Penn State University

University Park, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

229th of 618 rated colleges and universities


Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
POSITION SPECIFICS
We are seeking a Senior Data Engineer with deep expertise in database design, optimization, and data access strategies to support our growing data science and machine learning initiatives within the Computational Intelligence and Visualization Application Department in the Applied Research Laboratory (ARL) at Penn State In this role, you will architect and optimize data systems that empower our data scientists to efficiently research, train, and deploy both traditional and ML-based algorithms and applications.
The ideal candidate is a PostgreSQL expert who also brings hands-on experience with other modern data storage technologies-such as NoSQL, graph, and time-series databases-and can guide the organization in choosing the right tools and structures for each data use case.
Located in either State College, PA or Reston, VA
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
  • Design and maintain scalable, high-performance database solutions to support data science workflows and ML experimentation
  • Partner with data scientists to understand data access patterns and develop storage strategies that accelerate analysis and model training
  • Serve as the internal subject matter expert on PostgreSQL-including schema design, indexing, partitioning, and query optimization
  • Evaluate and integrate alternative database technologies (e.g., MongoDB, Neo4j, Redis, Cassandra) where they provide clear advantages
  • Lead efforts to optimize data pipelines for both structured and unstructured data used in algorithm development
  • Ensure data integrity, security, and governance across storage systems
  • Implement monitoring, automation, and performance-tuning tools for all database environments
  • Advise on data lifecycle management-balancing accessibility for R&D with efficiency and compliance requirements

Required skills/experience includes:
  • 5+ years of experience in data engineering, database architecture, or related technical roles
  • Expert-level proficiency in PostgreSQL (query tuning, schema design, indexing, partitioning, replication)
  • Strong understanding of data modeling, normalization vs. denormalization tradeoffs, and query optimization
  • Experience with non-relational databases (e.g., MongoDB, Cassandra, Neo4j, Redis, or DynamoDB)
  • Familiarity with machine learning workflows and how data is consumed for training, evaluation, and deployment
  • Experience with cloud database services (AWS RDS/Aurora, GCP Cloud SQL, Azure Database)
  • Proficiency in SQL and one or more scripting languages (Python preferred)
  • Excellent communication and collaboration skills-comfortable working closely with data scientists, ML engineers, and software developers

Preferred skills/experience includes:
  • Experience architecting hybrid data ecosystems spanning relational, NoSQL, and analytical databases.
  • Knowledge of data lake, warehouse, and feature store architectures (e.g., Snowflake, Redshift, BigQuery, Feast)
  • Familiarity with ETL/ELT frameworks and data orchestration tools (e.g., Airflow, dbt)
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Work location can be fully on-site located in State College, PA or Reston , VA. Questions related to flexible work should be directed to the hiring manager during the interview process.
MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS
If filled as R&D Engineer - Data Science (ARL) - Principal Professional, this position requires:Bachelor's Degree - Engineering or Science19+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Data Science (ARL) - Advanced Professional, this position requires:Bachelor's Degree - Engineering or Science5+ years of relevant experienceRequired Certifications:NoneIf filled as R&D Engineer - Data Science (ARL) - Senior Professional, this position requires:Bachelor's Degree - Engineering or Science14+ years of relevant experienceRequired Certifications:None
ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Intel Community (IC), and other federal government customers.
FOR FURTHER INFORMATION on ARL, visit our website at www.arl.psu.edu
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
Notice regarding employment at the Applied Research Laboratory (ARL):Employees must be eligible to obtain a government security clearance, participate in the ARL drug testing program, and comply with electronic and physical monitoring requirements applicable to federal contractors. ARL operates in a secure information environment involving Unclassified, Controlled Unclassified Information (CUI), and Classified information. Personal electronic devices brought onsite must be registered and may be restricted from certain areas. You must be a U.S. citizen to apply.
SALARY & BENEFITS
The salary range for this position, including all possible grades, is $121,704.00 - $265,704.00.
Salary Structure - Information on Penn State's salary structure
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
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