Principal Data Engineer

C.H Robinson is seeking a Principal Data Engineer who will take on the technical responsibility for our data architecture and strategy. You will collaborate with enterprise architecture, engineering, data, and analytics teams to design and implement enterprise-wide data solutions. You will anticipate business needs and apply technical expertise to drive architectural change that aligns with our long-term vision. You will contribute to architecture and development of enterprise data warehouse designs and development, and review team engineering practices for continuous improvement. You are responsible for providing technical guidance to our leadership team while also driving strategic projects throughout our enterprise.

This position is open to candidates located in Minneapolis, Chicago, or Kansas City. In this role, you will engage with your peers from the comfort of your own space, using cutting-edge tools to ignite creativity and deliver impactful results. Enjoy the flexibility and autonomy of a fully remote position, while still being an integral part of our dynamic team.  

DUTIES AND RESPONSIBILITIES

The duties and responsibilities of this position consists of, but are not limited to, the following:

• Design data and information solutions that align to the long-term plan for a service or product based on deep expertise and customer insights

• Partner with various engineering teams to create and manage a long-term data and information architecture and execution roadmap for a product or service

• Review designs and implementation to ensure alignment with our long-term vision

• Drive architectural enterprise change and influence strategic business initiatives

• Define data and information solutions across multiple products or services

• Ensure consistent, usable, forward-looking, maintainable test infrastructure; draw from a large base of design patterns, is an expert in available technologies, and is adept at identifying practices that work well

• Optimize, refactor, and reuse code to improve performance and maintainability while ensuring maximum efficiency, effectiveness, and return on investment

• Lead code reviews across the product or service, understand the root causes of issues, and find ways to resolve them

• Apply technical expertise to solve problems and enable the team to deliver quality designs

• Develop and maintain thorough architectural documentation for the product or service

• Design products or services by using secure programming patterns and by finding, fixing, and enhancing security in existing applications

• Ensure security best practices are part of design and implementation of new features and applications

• Demonstrate strategic understanding of the timing and rationale for design choices, within the scope of work

• Assist in incubating new projects and technologies to enable the next wave of customer scenarios

• Provide technical guidance and mentorship to engineering teams through technical POCs, shared frameworks, and desired best practices and patterns for software development, delivery and management

• Ensure that teams across the organization have the appropriate engineering lifecycle that provides for task estimation, design and code review, bug triage, code check-in, testing, and performance standards to meet customer and business goals

• Collaborate across the organization to define new ways of thinking to improve quality, engineering excellence, and productivity

• Tailor communication to a variety of audiences and perspectives and anticipate issues to prevent conflict

• Other duties or responsibilities as assigned according to the team and/or country specific requirements

Required Qualifications:

• Bachelor’s degree from an accredited college or university in Computer Science, Software Engineering, IS, MIS, or other technology degree or minimum of 4 years of equivalent work experience and high school diploma/GED

• Minimum 8 years of experience designing and driving implementation of large-scale software products or services that span multiple systems  

• Experience working on large-scale data sets in a commercial environment

• Experience building and modeling data in relational and non-relational data storage technologies including schema design, stored procedure development and performance and optimization techniques (e.g. SQL Server, Postgres, Mongo, Cosmos, etc.)

• Experience implementing and designing data acquisition, data curation, and data analysis

• Experience establishing testing patterns, acceptance testing criteria, and reviewing others' automated