Onsite Data Engineer: Pipelines, APIs & Analytics

Largeton Group; Woodbury (MN); Hybrid; USD 83,000 - 124,000; Full time

Job summary

Largeton Group in Woodbury, MN is seeking a hands-on Data Engineer to accelerate a major analytics initiative. You will design and build scalable data pipelines, transform and model data with DBT and PySpark, and expose data via APIs for customer-facing analytics.

The role emphasizes on-prem data environments, onsite work with some flexibility, and collaboration with a small team to deliver an analytics platform by year-end.

Qualifications

• 4+ years of data engineering experience.
• Strong SQL and Python skills.
• Experience developing APIs or API-driven data delivery.

Responsibilities

• Design, build, and maintain scalable data pipelines and integration processes.
• Develop and manage data transformation workflows using DBT.
• Build and optimize ETL/ELT processes with PySpark, Airflow, and Python.
• Ingest, process, and deliver data in an on-premises environment.
• Expose customer data through APIs for consumption in BI tools.
• Support analytics visualization with semantic layers and tools.

Tools

DBT

PySpark

Apache Airflow

Python

Job description

Largeton Group in Woodbury, MN is seeking a hands-on Data Engineer to accelerate a major analytics initiative. You will design and build scalable data pipelines, transform and model data with DBT and PySpark, and expose data via APIs for customer-facing analytics.

The role emphasizes on-prem data environments, onsite work with some flexibility, and collaboration with a small team to deliver an analytics platform by year-end.