Senior Data Engineer

C.H. Robinson

About The Position

The Senior Data Engineer will analyze and translate high-level customer requirements into detailed designs to solve complex business problems. This role involves designing solutions that align with the long-term plan for a service or product, based on deep expertise and customer insights. The engineer will partner with various engineering teams to create and manage a long-term data and information architecture and execution roadmap. Responsibilities include defining data solutions, developing code across multiple products or services, and influencing architectural changes. The role requires ensuring consistent, usable, and forward-looking test infrastructure, drawing from a large base of design patterns, and being adept at identifying effective practices. A key aspect is identifying code across multiple code bases to optimize, refactor, and reuse for improved performance and maintainability, while ensuring maximum efficiency and return on investment. The Senior Data Engineer will lead code reviews, understand root causes of issues, and find ways to resolve them. Proactive identification of performance and availability issues, troubleshooting, and providing effective solutions in production are also critical. The role involves developing and maintaining thorough architectural documentation, designing products and services using secure programming patterns, and enhancing security in existing applications. Estimating projects that span multiple product areas, including work, time, resources, and skill needs, is required. The engineer will proactively identify new technologies or innovative uses of existing ones and construct proposed solution strategies. Mentoring and coaching other engineers through design and code reviews, sharing best practices, and seeking mentorship are important. Leading the definition of the engineering lifecycle and practices, driving collaboration across multiple teams, and anticipating business needs by presenting options to leadership and stakeholders are also key responsibilities. Other duties may be assigned according to team and/or country-specific requirements.

Requirements

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 6 years of experience developing and implementing commercial software across several platforms while leveraging a variety of programming languages
Experience in owning and delivering projects and results of increasing technical complexity
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 with unit, integration, and acceptance testing
Experience with version control systems (ex. GIT, GitHub, TFS, etc.)
Experience with HTTP and REST architecture
Experience with CI/CD continuous integration / continuous deployment practices
Experience orchestrating data transformation through cloud native platforms (ex. Azure, AWS, GCP)
Experience with data streaming architecture and frameworks (Kafka, ESB)

Nice To Haves

Experience working on large-scale open source or inner source software development
Experience in system integration projects or global projects
Experience with machine learning models and data science solutions
Experience with modern development languages (e.g. .Net CORE, C#, Java)
Experience with thin-client development (e.g. HTML/CSS, JavaScript, JS frameworks)
Possess solid communication skills and strong customer focus
Effective collaborator, experienced in creating technical partnerships across teams
Able to learn and understand the various technical domains across the enterprise and able to communicate complex technical and business concepts across the enterprise and various business stakeholders
Experience directly or indirectly leading high performing teams with the ability to assess and grow software engineering talent
Proven track record of effectively delivering results in a fast-paced environment while managing multiple priorities
Values a diverse and inclusive work environment

Responsibilities

Analyze and translate high-level customer requirements into detailed designs to solve complex business problems.
Design 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.
Define data solutions and develop code across multiple products or services, as well as, influence or drive architectural changes.
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.
Identify code across multiple code bases to 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.
Proactively identify performance and availability issues, troubleshoot, provide effective options, and resolve issues in production that could span multiple product areas.
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.
Estimate for projects that span multiple product areas including work, time, resources and skill needs.
Proactively identify technologies or solutions that differ from current technology stack or represent innovative uses of existing technologies.
Construct and deliver proposed solution strategies for potential new technologies and work with architecture to review and approve proposals.
Mentor and coach other engineers by participating in design and code reviews and share best practices; proactively seek mentorship from others.
Lead the effort in defining the engineering lifecycle and practices for team and associated teams in partnership with the principal data engineer.
Drive collaboration across multiple teams; find ways accomplish more by enabling others.
Anticipate business needs and present options to leadership and business stakeholders with product managers.
Other duties or responsibilities as assigned according to the team and/or country specific requirements.

Benefits

Three medical plans which include Prescription drug coverage
Enhanced Fertility benefits
Flexible Spending Accounts
Health Savings Account (including employer contribution)
Dental and Vision
Basic and Supplemental Life Insurance
Short-Term and Long-Term Disability
Paid observed holidays
2 paid floating holidays for U.S. hourly employees
Flexible Time Off (FTO) offered to U.S. salaried employees — no accruals and no caps.
Paid Time Off (PTO) offered to all other employees in the U.S. and Canada
Paid parental leave
Paid time off to volunteer in your community
Charitable Giving Match Program
401(k) with 6% company matching
Employee Stock Purchase Plan
Broad range of career development, networking, and team-building opportunities