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Full Time Data Engineering Jobs in Pennsylvania (NOW HIRING)

indianapoliscolts

Data Engineer

Indiana, PA

$104K - $125K/yr

Working within our data engineering team, this role assists in transforming raw data into reliable ... This is a full-time position working from our main offices at the Indiana Farm Bureau Football ...

Audacy, Inc.

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering team. In this role, you'll be at the forefront of ...

Wolfe, LLC

Data Engineer

Pittsburgh, PA · On-site

$75K - $85K/yr

Data Employment Type: Full Time Location: Pittsburgh Onsite Compensation: $75,000 - $85,000 / year ... Qualifications * 2-4 years of experience in data engineering, with hands-on experience building and ...

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Full Time Data Engineering information

What is a full time data engineer?

Full time data engineering jobs involve building, managing, and optimizing data pipelines and infrastructure to collect, process, and store large volumes of data for organizations. Data engineers work with technologies like SQL, Python, cloud platforms, and big data tools to ensure data is reliable and accessible for analytics and business decision-making. These roles typically require strong programming skills, knowledge of database systems, and experience with data modeling and ETL (Extract, Transform, Load) processes. Full time positions generally offer benefits and require a standard workweek commitment, often in tech, finance, healthcare, or other data-driven industries.

What are the key skills and qualifications needed to thrive as a full time data engineer?

To thrive as a Full Time Data Engineer, you need strong programming skills (such as Python or Java), proficiency in SQL, and a solid understanding of data modeling and ETL processes, usually supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., Google Cloud Data Engineer) is highly valuable. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills ensure efficient data infrastructure development, reliable data pipelines, and effective collaboration with cross-functional teams to support business objectives.

What are some common challenges faced by full time data engineers, and how can they be addressed?

Full-time data engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for scalability and performance. These issues can be addressed by adopting robust ETL (Extract, Transform, Load) frameworks, implementing automated data validation tests, and collaborating closely with data analysts and software engineers to align on data requirements. Staying updated with the latest cloud technologies and best practices in data architecture also helps in overcoming these challenges and maintaining efficient, reliable data systems.

What is the difference between Full Time Data Engineering vs Part Time Data Engineering?

AspectFull Time Data EngineeringPart Time Data Engineering
Work HoursTypically 40 hours/weekLess than 20 hours/week
CredentialsRelevant degrees, certifications like AWS, GCP, or AzureSame as full-time, but often less emphasis on certifications
Work EnvironmentFull-time employment, often in corporate or tech firmsFreelance or contract basis, flexible locations
Job ResponsibilitiesDesigning, building, maintaining data pipelinesSupporting existing pipelines, smaller projects

Full Time Data Engineering involves a standard 40-hour workweek with comprehensive responsibilities in designing and maintaining data systems. Part Time Data Engineering offers flexible hours, often focusing on specific tasks or projects. Both roles require relevant technical skills and certifications, but full-time positions typically demand more extensive experience and commitment.

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. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making this a stable and growing career field.

What are the most commonly searched types of Data Engineering jobs in Pennsylvania?

The most popular types of Data Engineering jobs in Pennsylvania are:

Full Time Data Engineering jobs near you

Manager - Data Engineering

American Eagle Outfitters

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Key responsibilities

  • Lead the Consumer Data Engineering Team to build and deliver robust data products aligned with business priorities.

  • Manage and mentor a team of Data Engineers, ensuring technical excellence and professional development.

  • Collaborate with the Sr. Data Architect and business leads to ensure data pipelines meet technical standards and translate operational needs into engineering requirements.

American Eagle Outfitters rating

5.6

Company rating: 5.6 out of 10

Based on 627 frontline employees who took The Breakroom Quiz

67th of 105 rated fashion retailers

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
About Us
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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