Data Engineer
Wolfe is a Pittsburgh-based FinTech company embedding AI across its product, its internal processes, and the way its teams work day-to-day, and the Data Engineer supports that shift. Working within the Data Platform team, this role builds and maintains the pipelines and data models that turn raw source data into governed, curated datasets the organization can rely on. Day to day it integrates enterprise and marketing sources, including GA4, ad platforms, CRM, email, affiliate, and social alongside core operational systems, into trusted data products, and improves those datasets so teams can use AI-driven and self-service analytics with confidence. The role works closely with senior data engineers under Wolfe's federated hub-and-spoke governance model, taking direction on architecture and standards from the central Data Platform team while independently delivering well-defined data work.
This is a 5-day onsite role in Pittsburgh, PA.
This is a 5-day onsite role in Pittsburgh, PA.
- Build and maintain ELT/ETL pipelines across the Bronze, Silver, and Gold layers of the lakehouse so data lands reliably and on schedule.
- Integrate enterprise and marketing data sources, including GA4, ad platforms, CRM, email, affiliate, and social, into governed, curated datasets.
- Build dimensional models and semantic data products, following established platform patterns, that business teams can query directly for self-service analytics.
- Implement automated data quality checks, monitoring, and observability across production pipelines, and troubleshoot failures and performance issues.
- Apply data governance standards including cataloging, lineage, tagging, and access controls, in partnership with Data Stewards and senior members of the Data Platform team.
- Prepare clean, well-structured, production-ready datasets that support AI/ML and Agentic AI workflows.
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.:
- Onboard at least two existing data sources (for example GA4 and one ad platform or core operational system) onto governed pipelines, with documented lineage and data quality checks for each.
- With guidance from a senior engineer, ship one new dimensional model or semantic data product that a Marketing or business stakeholder uses for self-service analytics.
- Stand up automated data quality monitoring on at least one production pipeline, with alerting in place for failures and anomalies.
- 2-4 years of experience in data engineering, with hands-on experience building and maintaining production pipelines.
- Strong SQL and working proficiency in Python and/or Spark.
- Experience building and orchestrating pipelines with Airflow, dbt, or similar tools.
- Experience with AWS data services (Glue, S3, Athena, IAM) and cloud data warehouses (Redshift, Snowflake, or BigQuery preferred).
- Working knowledge of dimensional modeling and data governance concepts including cataloging, lineage, and access control.
- Familiarity or interest in AI/ML workflows, with exposure to Agentic AI concepts considered a plus.
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
- 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
About the Company
Wolfe, located in Pittsburgh, PA, is a leader in the Gift Card and FinTech sectors, specializing in innovative gifting products and solutions for the past 25 years. Wolfe Solutions offer a comprehensive range of gifting services, including customizable gift cards, corporate gifting solutions, and advanced digital gifting platforms. We are the power and solution behind many gift card programs and large national merchants. Our consumer flagship brand is PerfectGift.com.
At the heart of our success are our Core Values: Teamwork, Drive, Integrity, Caring, and Excellence. These principles guide us as we innovate and expand our portfolio with platforms and brands like PerfectGift, Gift Card Granny, GiftYa, and Give InKind, setting new standards in the gifting experience.
Some of the Company and Executive Team Recognitions:
- 2024 Fast 50 Growing Companies in Pittsburgh, Pittsburgh Business Times (ranked no. 8)
- 2024 Top Work Places, Pittsburgh Post-Gazette (ranked no. 30)
- 2024 Inc. 5000 list of fastest-growing private companies (ranked no. 486)
- 2023 Inc. 5000 list of fastest-growing private companies (ranked no. 382)
- 2022 First place - Fast 50 Growing Companies in Pittsburgh, Pittsburgh Business Times
- 2020 Best Places to Work, Pittsburgh Business Times
- 2019 Carnegie Science Award, Entrepreneur Category
- 2017 Outstanding Entrepreneur, Pittsburgh Venture Capital Association
- 2015 Business Times Diamond Award, Business Ethics Award, Create Award
- 2015 CEO of the Year, Pittsburgh Technology Council
Join Us: If our values, vision, and mission resonate with you, we invite you to explore career opportunities with us. Be part of our story of growth, innovation, and success.
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