AI-Powered Data Engineer for Scalable Pipelines

Wolfe, LLC; Pittsburgh (Allegheny County); Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

RSUs

Profit Share

Medical insurance for employees and/or

PTO

401(k)

Tuition Reimbursement

Training and Information sessions

Holiday Party

Internal Culture Club

Job summary

Wolfe, LLC, a Pittsburgh-based FinTech company embedding AI across its product and processes, is seeking a Data Engineer to join the Data Platform team. You will build and maintain ELT/ETL pipelines and data models turning raw source data into governed, curated datasets used for self-service analytics and AI workflows.

You'll collaborate with senior data engineers, implement data quality and governance standards, and deliver production-ready datasets from enterprise and marketing sources (GA4,

Qualifications

• 2-4 years of experience in data engineering.
• 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.

Responsibilities

• 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.

Skills

SQL

Python

Spark

Airflow

dbt

AWS

Data modeling

Data governance

Agentic AI

Tools

AWS Glue

S3

Athena

Redshift

Snowflake

BigQuery

Git

Job description

Wolfe, LLC, a Pittsburgh-based FinTech company embedding AI across its product and processes, is seeking a Data Engineer to join the Data Platform team. You will build and maintain ELT/ETL pipelines and data models turning raw source data into governed, curated datasets used for self-service analytics and AI workflows.

You'll collaborate with senior data engineers, implement data quality and governance standards, and deliver production-ready datasets from enterprise and marketing sources (GA4,