Principal Data Engineer

Mitchell Martin Inc.; Madison (WI); Hybrid; USD 145,000 - 190,000; Full time

Job summary

Mitchell Martin Inc. is seeking a Principal Data Engineer in Madison, WI for a hybrid, full-time role. You will lead cross-domain data initiatives, architect enterprise data solutions, and guide data processing and cloud technologies to achieve scalable outcomes.

You'll mentor engineers, define data standards, and collaborate with stakeholders to balance technical tradeoffs. The position emphasizes leadership, strong communication, and hands-on data engineering excellence.

Qualifications

• Bachelor's degree or equivalent experience.
• Expert-level experience in software development and data engineering.
• Proficiency in data pipeline development and data modeling solutions.
• Experience with cloud infrastructure and data storage solutions.
• Ability to lead and communicate complex technical decisions effectively.

Responsibilities

• Lead technical outcomes for cross-domain initiatives from concept to production.
• Translate enterprise needs into executable technical plans.
• Coordinate technical execution and identify architectural risks.
• Define and evolve data engineering standards and architectures.
• Mentor engineers and communicate technical tradeoffs to stakeholders.

Skills

Leadership

Mentoring

Communication

Education

Bachelor's Degree in a relevant field

Tools

Spark

Python

SQL

ETL

ELT

NoSQL

Cloud Infrastructure

REST API

Agile Tools

Job description

Title

Principal Data Engineer

Location

Madison, WI

Employment Type

Full Time

Compensation

Pay Range: $145,000-$190,000 Per Year

Description

Join our team as a Principal Data Engineer in a hybrid role based in Madison, WI. This full-time position involves leading cross-domain data initiatives and developing enterprise data engineering capabilities. You'll work with a variety of data processing and cloud technologies to drive technical outcomes and architectural standards.

Key Responsibilities

• Lead technical outcomes for cross-domain initiatives from concept to production.
• Translate enterprise needs into executable technical plans.
• Coordinate technical execution and identify architectural risks.
• Define and evolve data engineering standards and architectures.
• Mentor engineers and communicate technical tradeoffs to stakeholders.

Qualifications

• Bachelor's Degree in a relevant field or equivalent experience.
• Expert-level experience in software development and data engineering.
• Proficiency in data pipeline development and data modeling solutions.
• Experience with cloud infrastructure and data storage solutions.
• Ability to lead and communicate complex technical decisions effectively.

Core Technologies

• Spark
• Python
• SQL
• ETL
• ELT
• NoSQL
• Cloud Infrastructure
• REST API
• Agile Tools