Data Engineer - AI Pipelines & Governance

Wolfe, LLC; Pittsburgh (Allegheny County); On-site; USD 75,000 - 85,000; Full time

Benefits offered by this job

RSUs

Profit Sharing

Health insurance

Job summary

Wolfe, LLC in Pittsburgh is seeking a Data Engineer to build and maintain ELT/ETL pipelines and data models that turn raw data into governed datasets for AI-driven analytics. You will work within the Data Platform team, integrating GA4, ad platforms, CRM, email, and other sources into trusted data products and collaborate with senior engineers.

This is a 5-day onsite role in Pittsburgh, PA. You will implement quality checks, support data governance, and enable self-service analytics for business

Qualifications

• 2-4 years of experience in data engineering and production pipelines.
• Strong SQL and Python/Spark.
• Experience with Airflow, dbt, or similar tools.
• Experience with AWS data services and cloud data warehouses.
• Knowledge of dimensional modeling and data governance concepts.

Responsibilities

• Build and maintain ELT/ETL pipelines across lakehouse layers.
• Integrate enterprise and marketing data sources into curated datasets.
• Build dimensional models and semantic data products for self-service analytics.
• Implement automated data quality checks and monitoring across pipelines.
• Apply data governance standards with cataloging, lineage, and access controls.
• Prepare production-ready datasets to support AI/ML workflows.

Skills

SQL

Python

Spark

Data governance

AI/ML workflows

Tools

Airflow

dbt

AWS

Redshift

Snowflake

BigQuery

Job description

Wolfe, LLC in Pittsburgh is seeking a Data Engineer to build and maintain ELT/ETL pipelines and data models that turn raw data into governed datasets for AI-driven analytics. You will work within the Data Platform team, integrating GA4, ad platforms, CRM, email, and other sources into trusted data products and collaborate with senior engineers.

This is a 5-day onsite role in Pittsburgh, PA. You will implement quality checks, support data governance, and enable self-service analytics for business