Lead Data Engineer - Hybrid, GCP & Data Platform

Purple Hires Inc; Madison (WI); Hybrid; USD 83,000 - 124,000; Part time

Job summary

Purple Hires Inc. in Madison, WI is seeking a Lead Data Engineer for a 3-month hybrid contract. The role requires 2–3 days in the office and proximity within 40–45 miles.

You will lead an engineering team, oversee data pipelines, and ensure data quality and security across the lifecycle. The ideal candidate has strong GCP experience, deep Python ETL expertise, and hands-on work with SQL/NoSQL, Spark/Hadoop, and data modeling.

Qualifications

• Experience delivering customer-focused data solutions.
• Proficient with GCP for data engineering.
• Strong knowledge of SQL/NoSQL databases and data stores.
• Extensive Python programming for ETL workflows and data pipelines.
• Able to write reusable, well-architected code.

Responsibilities

• Leads an engineering team to meet project deadlines and priorities.
• Supervises data engineering team members and activities.
• Ensures data quality, security, integrity across the data lifecycle.
• Documents critical workflows and operational support for team responsibilities.
• Develops understanding of data sources, granularity, availability, limitations.
• Provides technical oversight to architecture and development teams for scalable data solutions.
• Creates maintainable, scalable code to load and manipulate data in the warehouse.
• Facilitates communication with project teams and stakeholders.]
• Specialized knowledge of batch processing and big data tools (Hadoop/Spark).

Skills

GCP experience

Python ETL

SQL/NoSQL

Big data

Spark/Hadoop

CI/CD

Docker

Data modeling

Open source ML

Tools

Terraform

CloudFormation

Jenkins

Git

Docker

Job description

Purple Hires Inc. in Madison, WI is seeking a Lead Data Engineer for a 3-month hybrid contract. The role requires 2–3 days in the office and proximity within 40–45 miles.

You will lead an engineering team, oversee data pipelines, and ensure data quality and security across the lifecycle. The ideal candidate has strong GCP experience, deep Python ETL expertise, and hands-on work with SQL/NoSQL, Spark/Hadoop, and data modeling.