Remote Data Engineer — ETL, Warehousing & Analytics

PPLIED; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

PPLIED is seeking a Data Engineer to design, build, and maintain scalable data pipelines that power the platform’s matching and analytics capabilities. This remote, full-time role partners with product, engineering, and analytics teams to collect, transform, and integrate data from multiple sources into reliable warehouses and models.

You will implement ETL processes, optimize workflows, ensure data quality, and help improve performance, security, and documentation across the data infrastructure

Qualifications

• Bachelor's degree in CS, Engineering, Data Science, or related field or equivalent practical experience.
• Strong data engineering experience incl. building and maintaining data pipelines for large-scale systems.
• Experience with data modeling and data warehousing to support analytics.
• Proficiency in ETL processes and data ingestion/transform automation.
• Data analytics skills to interpret data and support reporting decisions.
• SQL proficiency; coding in Python or Scala is a plus.
• Experience with cloud data platforms (AWS/GCP/Azure) and orchestration tools.

Responsibilities

• Design, build, and maintain scalable data pipelines powering the platform's matching and analytics.
• Collect, transform, and integrate data from multiple sources into data warehouses and models.
• Implement ETL processes and optimize data workflows for quality and performance.
• Support data-driven features, reporting, and documentation of best practices.
• Collaborate with product, engineering, and analytics teams in a remote setting.

Skills

Data engineering

Data pipelines

Data modeling

ETL processes

Data analytics

SQL

Python/Scala

Cloud platforms

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

AWS

GCP

Azure

Apache Airflow

Job description

PPLIED is seeking a Data Engineer to design, build, and maintain scalable data pipelines that power the platform’s matching and analytics capabilities. This remote, full-time role partners with product, engineering, and analytics teams to collect, transform, and integrate data from multiple sources into reliable warehouses and models.

You will implement ETL processes, optimize workflows, ensure data quality, and help improve performance, security, and documentation across the data infrastructure