Job Description

Job Description

Job Description

Description

About Wolfe
Recognized among Pittsburgh's 2024 Top Workplaces and Fastest-Growing Companies, Wolfe has been a leader in the Gift Card and FinTech sectors for over 25 years. We partner with national brands such as Pizza Hut, KFC, Pandora Jewelry, Kendra Scott, Wawa, Journeys and others to manage their gift card programs. Our flagship consumer brand, PerfectGift.com, enables customers to create customized gift cards. We are a fast-paced environment, like kayaking down a white-water river, not canoeing on a lake.

This is a 5-day onsite role in Pittsburgh, PA. 

About The Role
We are seeking a Data Engineer to support and scale our enterprise data platform, with a focus on enabling next-generation AI and analytics capabilities. This role is critical in building and maintaining high-quality, governed data pipelines that serve as the foundation for advanced analytics and emerging Agentic AI use cases. The ideal candidate brings strong experience in AWS-based data architectures, a solid understanding of data governance principles, and a forward-looking mindset toward AI-driven data systems.
Responsibilities

• Design, build, and maintain scalable data pipelines across Bronze, Silver, and Gold layers within a lakehouse architecture
• Develop and optimize ETL/ELT processes using AWS services (Glue, S3, Athena, etc.)
• Ensure data quality, consistency, and reliability across all stages of the data lifecycle
• Implement and enforce data governance standards, including cataloging, lineage, and access controls
• Collaborate with analytics, product, and engineering teams to deliver high-quality data products
• Support and enable AI/ML and Agentic AI workflows by providing clean, well-structured, and accessible datasets
• Monitor and troubleshoot data pipeline performance and failures
• Contribute to architectural decisions and continuous improvement of the data platform

Impact Statement

For more clarity on the role, below are the success metrics and measurements for this role in the first 90 to 120 days:

• Successfully onboard and take ownership of key data pipelines within the medallion architecture
• Deliver measurable improvements in pipeline performance, reliability, or cost efficiency
• Implement or enhance at least one data governance capability (e.g., lineage tracking, tagging, or access controls)
• Contribute to enabling at least one AI/analytics use case by delivering clean, production-ready datasets

Qualifications

• 3+ years of experience in data engineering or related field
• Hands-on experience with AWS data services (Glue, S3, Athena, IAM, Lake Formation preferred)
• Strong proficiency in Python and SQL for data transformation and pipeline development
• Understanding of data governance concepts including cataloging, lineage, and access control
• Familiarity or interest in AI/ML workflows, with exposure to Agentic AI concepts considered a strong plus

Compensation, Benefits, and Perks

Wolfe is committed to providing a comprehensive benefits package to support your well-being, along with competitive compensation. Our benefits and perks include but not limited to:

• Restricted Stock Units (RSUs)
• Profit Share and/or Incentive Bonus
• Medical, Prescription, Vision, and Dental insurance for employees and dependents (Wolfe pays 80% of premium)
• Short-Term Disability Insurance (Wolfe pays 100% of premium)
• Voluntary Long-Term Disability Insurance, Life Insurance, Critical Illness Insurance, Accident Insurance, and Hospital Indemnity coverage
• PTO (vacation and sick time)
• Corporate Holidays and Floating Holidays
• 401(k)
• Employee recognition program
• Charitable Donation to a charity of your choice yearly
• Employee Referral Bonus
• Tuition Reimbursement
• Internal Training and Information sessions
• Family Picnic, Holiday Party, and other outings
• Internal Culture Club

Job Tags

Temporary work

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