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Data Engineering Jobs in Pennsylvania (NOW HIRING)

Aramark

Director, Data Engineering & AI

Philadelphia, PA · On-site

$150K - $160K/yr

The Director, Data Engineering & AI Enablement is the senior-most technical leader and active builder for the data engineering and artificial intelligence capability supporting the Facilities ...

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Manager, Data Engineering

Philadelphia, PA

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

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Manager, Data Engineering

Philadelphia, PA

Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps * Knowledge and familiarity with Microsoft Purview * DevOps for data, GitHub ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

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All JobsData Engineering JobsData Engineering Jobs in Pennsylvania

Data Engineering information

See Pennsylvania salary details

$46.1K

$165.4K

$244.1K

How much do data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineering in Pennsylvania is $165,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,800.00 and $170,400.00 per year, depending on experience, location, and employer.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Pennsylvania? The most popular types of Data Engineering jobs in Pennsylvania are:
What are popular job titles related to Data Engineering jobs in Pennsylvania? For Data Engineering jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Pennsylvania look for? The top searched job categories for Data Engineering jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Engineering jobs? Cities in Pennsylvania with the most Data Engineering job openings:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,414 per year, or $79.5 per hour.

Manager - Data Engineering

AEO (Association for Enterprise Opportunity)

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Title:  Manager - Data Engineering

Reports To:  Director - Data Engineering

Location:  Pittsburgh, PA or New York, NY

American Eagle is a youth culture brand grounded in denim. Our purpose extends beyond making the best jeans-we embrace self expression, culture, optimism and connection. Through the brand platform Live Your Life, we empower our community to be who they want to be all while wearing the clothes that make them most confident.

Get to Know the Role:

We are seeking a results-driven Data Engineering Manager to lead the Consumer Data Engineering Team, specifically overseeing domains such as Customer, Digital/eCommerce, and Store Operations. You will lead a team of high-performing onshore engineers and offshore partners to build robust data products that drive operational efficiency. This role requires a blend of people leadership, project management, and deep domain expertise in retail operations to cultivate a sustainable, high-performance engineering culture.

What You'll Do:

  • Domain Leadership: Direct oversight of the Consumer engineering teams, ensuring technical roadmaps are aligned with business priorities like customer personalization, marketing attribution, and omnichannel engagement.
  • Team Management: Directly manage a team of Data Engineers, providing technical mentorship, performance management, and professional development.
  • Architectural Collaboration: Partner closely with the Sr. Data Architect to ensure all domain-specific pipelines align with enterprise-wide technical standards and the Medallion architecture blueprint.
  • Stakeholder Intake: Act as the primary technical point of contact for Consumer-side business leads, translating complex operational needs into actionable engineering requirements.
  • Strategic Engineering Culture: Establish and maintain best practices for code quality, documentation, and automated testing to ensure the long-term sustainability of the Consumer data ecosystem.
  • Product Delivery: Ensure the delivery of high-quality "Gold" layer data products within our GCP Medallion architecture.

What You Bring:

  • Experience: 8+ years in Data Engineering with at least 2+ years of formal people management or team lead experience.
  • Domain Expertise: Deep understanding of Customer Data (CRM, Loyalty, Customer 360), Digital/eCommerce (web/app clickstream), Marketing Analytics (attribution, campaign performance), and Store Operations.
  • GCP Technical Proficiency: Hands-on experience with Google BigQuery, Cloud Composer (Airflow), and building pipelines using SQL and Python.
  • Modern Modeling Knowledge: Familiarity with Dimensional Modeling (Star/Snowflake) and its application within a Medallion architecture (Bronze/Silver/Gold).
  • Strategic Mindset: Strong problem-solving and systems-thinking skills with a proven ability to balance short-term execution with long-term platform health.
  • Agile Methodology: Experience running high-velocity engineering sprints and managing a backlog of data product features.

Nice to Have:

  • Emerging Technology: Familiarity with or vision for integrating Generative AI into data engineering workflows (e.g., using LLMs for SQL generation, automated metadata documentation, or synthetic data creation).

Perks: Why You'll Love it Here

  • Generous employee discount
  • Summer Fridays
  • Casual dress code
  • Hybrid schedule
  • FOMO events (Exciting company-wide events)

PAY/BENEFITS INFORMATION:

  • Actual starting pay is determined by various factors, including but not limited to relevant experience and location.
  • Subject to eligibility requirements, associates may receive health care benefits (including medical, vision, and dental); wellness benefits; 401(k) retirement benefits; life and disability insurance; employee stock purchase program; paid time off; paid sick leave; and parental leave and benefits.
  • Paid Time Off, paid sick leave, and holiday pay vary by job level and type, job location, employment classification (part-time or full-time / exempt or non-exempt), and years of service. For additional information, please click HERE.
  • AEO may also provide discretionary bonuses and other incentives at its discretion.

#LI-CH1

Get to Know AEO
American Eagle Outfitters, Inc. (NYSE: AEO) is a leading global specialty retailer with a portfolio of beloved apparel brands including American Eagle, Aerie, OFFL/NE by Aerie, Todd Snyder and Unsubscribed. 
Rooted in optimism, inclusivity and authenticity, AEO's brands empower every customer to celebrate their unique personal style by offering casual, comfortable, timeless outfitting and high-quality products that are made to last. In addition to a robust e-commerce business, we operate stores in the United States, Canada and Mexico, with merchandise available in more than 30 countries through a global network of license partners. 
At AEO, we believe in the power of our people and our brands. Our Better Together culture creates a mutual desire to succeed-inspiring our community to excel, while driving future growth for the business and associates. Through experience, exposure and education we empower associates to build their unique career journey.
Inclusion, Diversity, Equity and Access at AEO
We remain committed to building an inclusive culture that is welcoming and fosters a sense of belonging for everyone. Please see more about our initiatives here.
AEO is an Equal Opportunity Employer and is committed to complying with all federal, state and local equal employment opportunity ("EEO") laws. AEO prohibits discrimination against associates and applicants for employment because of the individual's race or color, religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, disability, gender identity or expression, marital or partnership status, domestic violence or stalking victim status, genetic information or predisposing genetic characteristics, military or veteran status, or any other characteristic protected by law. This applies to all AEO activities, including, but not limited to, recruitment, hiring, compensation, assignment, training, promotion, performance evaluation, discipline and discharge. AEO also provides reasonable accommodation of religion and disability in accordance with applicable law.
Applications will be accepted until the Apply Before date (if applicable), but may be extended based on applicant volume.

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