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Remote Internship Data Engineering Jobs in Pennsylvania

... Remote Eligible Yes Base Salary Range: $152000 - $228000 Descriptions & Requirements and ... Collaborate with engineering, analytics, and business teams to establish best practices for data ...

$130K - $144K/yr

Remote, United States Reports To: Engineering Manager What We're Looking For: Requirements: * Experience : 5+ years of experience in data engineering or related roles * Project Management

Senior BI Engineer, Data

Lititz, PA · On-site +1

$98K - $133K/yr

Data Engineering & Architecture * Lead the design, development, and implementation of a ... Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

... cloud data engineering, with demonstrated ownership of architecture decisions. * Hands-on ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Mechanicsburg, PA · Remote

$125K - $150K/yr

REMOTE: Possibility of up to 10% Travel required - Client meetings in Mechanicsburg, PA, and/or Yorktown, VA Salary Range: $125,000 - $150,000 Primary Responsibilities: The Data Engineer will be ...

... remote option.) Job Summary Seeking a highly skilled Full Stack Developer with a strong data ... Bachelor's degree in Computer Science, Engineering, Data Science, or related field (or equivalent ...

Showing results 21-40

Remote Internship Data Engineering information

What is the difference between Remote Internship Data Engineering vs Remote Internship Data Analyst?

AspectRemote Internship Data EngineeringRemote Internship Data Analyst
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, coding tasksData reporting, analysis, visualization
Industry UsageTech, finance, healthcareMarketing, retail, finance

Remote Internship Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring coding and technical skills. In contrast, Remote Internship Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles often share similar credentials but differ in daily tasks and technical depth, making them distinct yet related internship opportunities in data careers.

What are popular job titles related to Remote Internship Data Engineering jobs in Pennsylvania?

For Remote Internship Data Engineering jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Internship Data Engineering jobs in Pennsylvania look for?

The top searched job categories for Remote Internship Data Engineering jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Internship Data Engineering jobs?

Cities in Pennsylvania with the most Remote Internship Data Engineering job openings:

Data Engineer / Architect

Synopsys

Canonsburg, PA • On-site, Remote

$152K/yr

Full-time

Re-posted 1 hour ago


Job description

General Information
Job Title
Data Engineer / Architect
Job ID
17934
City
Canonsburg
State/Province
Pennsylvania
Date Posted
16-Jun-2026
Job Category
Data Science
Job Subcategory
Data Analyst
Hire Type
Employee
Remote Eligible
Yes
Base Salary Range: $152000 - $228000
Descriptions & Requirements
Job Description and Requirements
We Are:
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to develop high-performance silicon chips and software solutions that accelerate innovation. Join us to transform the future through continuous technological advancement.
You Are:
You are a talented Data Engineer / Architect with a passion for designing and delivering modern data and analytics solutions. You excel at turning complex business requirements into scalable data products that enable informed decision-making across the organization.
With hands-on expertise across the modern data stack, you are equally comfortable architecting enterprise data solutions, building robust data pipelines, developing semantic models, and creating insightful dashboards. You understand that successful analytics depends on strong data foundations, thoughtful modeling, and close partnership with stakeholders.
You are a problem solver who combines technical depth with practical delivery skills. You thrive in collaborative environments, enjoy working across business and technical teams, and take pride in delivering high-quality, business-ready solutions that drive measurable impact.
What You'll Be Doing:
  • Partner with business and technical stakeholders to gather requirements, define solution architectures, and deliver high-quality data products.
  • Design, build, and maintain end-to-end data solutions spanning ingestion, transformation, modeling, and reporting layers.
  • Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
  • Design and implement robust dimensional and analytical data models that support trusted reporting and analytics.
  • Build, optimize, and maintain semantic models within Power BI to enable scalable self-service analytics.
  • Develop Power BI dashboards, reports, visualizations, and DAX measures that turn business requirements into actionable insights.
  • Ensure data quality, consistency, governance, and performance across the analytics ecosystem.
  • Collaborate with engineering, analytics, and business teams to establish best practices for data architecture and data management.
  • Troubleshoot and optimize data pipelines, warehouse performance, reporting models, and dashboard solutions.
  • Contribute to the evolution of Synopsys' modern data platform and analytics capabilities.

The Impact You Will Have:
  • Deliver scalable and reliable data solutions that empower data-driven decision-making across Synopsys.
  • Improve the accessibility, quality, and trustworthiness of enterprise data assets.
  • Accelerate business insights through modern analytics platforms and reporting solutions.
  • Enable stakeholders to make faster and more informed decisions through effective dashboards and reporting.
  • Support strategic initiatives by transforming complex data into meaningful business outcomes.
  • Help establish best practices that improve the efficiency and scalability of the enterprise data environment.

What You'll Need:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
  • 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.
  • Strong hands-on expertise with:
    • Snowflake
    • dbt
    • Fivetran
    • Power BI
    • SQL (expert-level proficiency)
  • Strong experience with:
    • Dimensional modeling
    • Semantic modeling
    • Data warehouse architecture
    • Data modeling best practices
  • Experience designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
  • Proven experience building Power BI semantic models, writing DAX measures, and developing reports and dashboards.
  • Strong understanding of data quality, governance, scalability, and performance optimization.
  • Excellent problem-solving, communication, and stakeholder management skills.
  • Ability to work independently while collaborating effectively across cross-functional teams.

Who You Are:
  • A hands-on technical expert who enjoys solving complex data and analytics challenges.
  • A strong communicator who can translate technical concepts into business value.
  • A collaborative partner who works effectively with both technical and non-technical stakeholders.
  • Detail-oriented and committed to delivering high-quality, well-governed data solutions.
  • Curious and passionate about emerging technologies and modern data engineering practices.
  • Results-driven with a focus on delivering business outcomes through data.
  • Adaptable and comfortable operating in dynamic, fast-paced environments.

The Team You'll Be A Part Of:
You will join a team of data engineers, analytics engineers, architects, and business intelligence professionals focused on delivering enterprise-scale data and analytics capabilities. Working closely with business stakeholders and technology teams, you'll help build and evolve Synopsys' modern data platform while enabling trusted insights that drive strategic business decisions.
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits designed to help employees thrive. Your recruiter will provide additional details regarding compensation and benefits throughout the hiring process.
#LI-DNI
#DataEngineering
#DataArchitect
#Snowflake
#PowerBI
#DBT
#AnalyticsEngineering
#SynopsysCareers
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.

Synopsys logo

About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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