Data Engineer III - Data Science - Remote

Key Skills

JavaScript, Java Programming, Oracle, Python Programming, MongoDB, .NET, Database, SQL, Git, Azure, AWS, REST API, Apache Kafka, Machine learning techniques, Google Cloud Platform (GCP), Github, C# Programming, Large scale data processing, HTTP acceleration

Job Description

C.H. Robinson solves logistics problems for companies across the globe and across industries, from the simple to the most complex. With $28 billion in freight under management and 2.5X larger than the next largest North American freight broker, we are one of the world’s largest logistics platforms with our 100,00 customers and 85,000 contract carriers. Our global suite of services accelerates trade to seamlessly deliver the products and goods that drive the world’s economy. Our technology is built by and for supply chain experts to bring faster, more meaningful improvements to our customers’ businesses.

The Data Engineer III position is an experienced role on a software development team. In this role, they will work closely with engineering product managers and business stakeholders to define, estimate, design, and develop for complex data solutions that delight our customers. In addition, they are responsible for guiding the team’s engineering process, setting data standards, mentoring other data engineers and driving innovation.

C.H. Robinson recognizes the importance of workplace flexibility. We are committed to providing a remote-friendly work environment, both now and in the future. Our global technology teams will continue to have the flexibility that enables you to work where you are most effective, whether that be remote or in the office.

Responsibilities:

• Analyze and translate high-level customer requirements into detailed designs to solve complex business problems
• Partner with various engineering teams to create and manage a long-term data and information architecture and execution roadmap for a product or service
• Lead the development of scalable data pipelines, establish data management frameworks, and maintain CI/CD pipelines
• Increase code quality through code reviews and writing unit, integration and acceptance tests
• Collaborate with team to define testing strategy and drive quality throughout the engineering lifecycle through unit and integration tests
• 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 technical documentation for the product or service
• Write code using secure programming patterns and by finding, fixing, and enhancing security in existing applications
• Estimate for software projects including dependencies, work, time, resources and skill needs
• Maintain knowledge of emerging technologies
• Mentor and coach other engineers by participating in design and code reviews and share best practices; proactively seek mentorship from others
• Adopt established best practices while contributing to the definition of the engineering lifecycle as well as the definition of best practices
• Collaborate with leadership to unblock and direct members on the team to successfully deliver high quality software

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 3 years of experience developing and implementing commercial software
• Experience working on large-scale data sets in a commercial environment
• Experience with database objects in relational databases (ex. MS SQL, Oracle) including schema design, stored procedure development and performance and optimization techniques
• Experience with non-relational databases (ex. MongoDB)
• 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 with data streaming architecture and frameworks (Kafka, ESB)

Preferred Qualifications:

• Experience in system integration projects or global projects
• Experience with transportation, logistics, or business systems
• Experience with machine learning models and data science solutions
• Experience creating applications and features in an object-oriented environment (ex. C#, .NET, Java, JavaScript)
• Possess solid communication skills and strong customer focus
• Ability to communicate technical and business concepts across teams
• A learning and growth mindset that is open to giving and receiving feedback
• Proven track record of effectively delivering results in a fast-paced environment while managing multiple priorities
• Experience orchestrating data transformation through cloud native platforms (ex. Azure, AWS, GCP)
• Values a diverse and inclusive work environment