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Data Engineer Data Analyst Jobs in State College, PA

IBM

Co-Op Data Engineer - 2027

University Park, PA · On-site

Analyze data and identify integration opportunities across enterprise systems. * Participate in ... Programming (read, debug, and explain code). * Exposure to Microservices architect and cloud ...

IBM

Co-Op Data Engineer - 2027

University Park, PA · On-site

Analyze data and identify integration opportunities across enterprise systems. * Participate in ... Programming (read, debug, and explain code). * Exposure to Microservices architect and cloud ...

New

Penn State

Research Data Scientist

State College, PA · On-site

Collaborate with geospatial data analysts to understand and automate workflows and improve human ... Computer programming in one or more of the following: Python, R, Java, C++, or Matlab * Highly ...

IBM

Co-Op Data Scientist 2027

University Park, PA · On-site

Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering ... Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate ...

New

IBM

Co-Op Data Scientist 2027

University Park, PA · On-site

... engineering and consulting applying analytical rigor and statistical methods to predict behaviors ... Evaluate model results contributing to data-driven insights. • Tech-Driven Data Transformer:

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in State College, PA

Data Engineer Data Analyst information

See State College, PA salary details

$33.3K

$80.8K

$133K

How much do data engineer data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data engineer data analyst in State College, PA is $80,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,900.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What job categories do people searching Data Engineer Data Analyst jobs in State College, PA look for?

The top searched job categories for Data Engineer Data Analyst jobs in State College, PA are:

What cities near State College, PA are hiring for Data Engineer Data Analyst jobs?

Cities near State College, PA with the most Data Engineer Data Analyst job openings:

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in State College, PA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $80,822 per year, or $38.9 per hour.

Data Engineer - Data Architecture for Data Science & Machine Learning

Penn State

State College, PA • On-site

Other

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 104 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, Google Cloud Platform 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 ;/b>
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.
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 .
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