Data Engineer

Wolfe, LLC is a Pittsburgh-based FinTech company embedding AI across its product and internal operations. As a Data Engineer on the Data Platform team, you will design governed data pipelines and data models that support trusted data products, self-service analytics, and AI/ML workflows.

Role Responsibilities

• Build and maintain ELT/ETL pipelines that load data into the Bronze, Silver, and Gold layers of the lakehouse, ensuring reliability and scheduled delivery.
• Integrate enterprise and marketing sources, including GA4, ad platforms, CRM, email, affiliate, and social data, into governed curated datasets.
• Create dimensional models and semantic data products aligned to established platform patterns so business teams can query for self-service analytics.
• Implement automated data quality checks, monitoring, and observability for production pipelines, and support troubleshooting for pipeline failures and performance issues.
• Apply data governance practices such as cataloging, lineage, tagging, and access controls in collaboration with Data Stewards and senior Data Platform team members.
• Deliver production-ready datasets that support AI/ML and Agentic AI workflows.

Required Qualifications

• 2 to 4 years of experience in data engineering, including hands-on work building and maintaining production pipelines.
• Strong SQL skills and working proficiency in Python and/or Spark.
• Experience orchestrating pipelines with Airflow, dbt, or similar tools.
• Experience with AWS data services such as Glue, S3, Athena, and IAM, and familiarity with cloud data warehouses including Redshift, Snowflake, or BigQuery (preferred).
• Knowledge of dimensional modeling and data governance concepts, including cataloging, lineage, and access control.
• Interest in AI/ML workflows; exposure to Agentic AI concepts is considered a plus.

Technologies

ELT, ETL, SQL, Python, Spark, Airflow, dbt, AWS Glue, S3, Athena, IAM, Redshift, Snowflake, BigQuery, and lakehouse.

Impact Statement

• 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 used by a Marketing or business stakeholder for self-service analytics.
• Stand up automated data quality monitoring on at least one production pipeline, including alerting for failures and anomalies.

Compensation and Benefits

Pay: $75,000.00 to $85,000.00 per year.

• 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

Location and Work Style

• Pittsburgh, PA (onsite)
• Preferred commuting area: Pittsburgh, PA 15220