Data Engineer

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next. But the heartbeat of SHI is our employees – all 7,000 of them. If you join our team, you'll enjoy:

• Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
• Continuous professional growth and leadership opportunities.
• Health, wellness, and financial benefits to offer peace of mind to you and your family.
• World‑class facilities and the technology you need to thrive – in our offices or yours.

SHI One is an exciting team within the Advanced Solutions Group of SHI that is building new digital experiences for our internal users, customers and partners.

The Engineer will be responsible for the analysis, design, and development of solutions focused on data engineering and ETL workflows. As a Data Engineer, you will work with customers and internal stakeholders to understand their business needs and help them achieve outcomes with your solutions and guidance. You will research all data sources concerning business operations and be responsible for outlining designs to integrate, centralize, and maintain the data.

You will help to establish a new data engineering practice and be a technical leader within the Product organization.

• Design, develop, and implement scalable data pipelines and software solutions to support data engineering and analytics needs.
• Collaborate with stakeholders, including data engineers, data scientists, and AI engineers, to build and deploy enterprise-scale data analytics solutions.
• Analyze business requirements and transform raw data into reusable analytics assets using modern data platforms and tools.
• Implement best practices for data quality, version control, and deployment within analytics platforms to ensure data accuracy and accessibility.
• Troubleshoot, identify, and resolve software and data‑related issues, providing fixes and continuous improvements.
• Partner with solution architects to ensure seamless integration of analytics solutions into broader architectural designs.
• Develop and maintain comprehensive documentation for software and data processes, ensuring effective knowledge sharing.
• Conduct data analysis to support data‑driven decision‑making and assist in resolving data‑related issues.
• Support software design and development processes, including creating development environments and testing frameworks.
• Collaborate with business units and engineering teams to develop and execute a long‑term data platform architecture strategy.

• Communication:
  Can effectively communicate complex ideas and information, and can adapt communication style to the audience.
• Listening:
  Can recognize underlying messages and non‑verbal cues in communication, responding appropriately to both explicit and implicit information.
• Presenting:
  Can prepare and deliver presentations, addressing key points and responding to questions with clarity.
• Adaptability:
  Can adjust to changes in the work environment, manage multiple tasks, and effectively handle uncertainty.
• Problem‑Solving:
  Can identify problems, propose solutions, and take action to resolve them without explicit instructions.
• Initiative:
  Can identify opportunities for improvement, propose solutions, and take action without explicit instructions.
• Prioritization:
  Can identify critical tasks, arrange them based on importance, and execute without explicit instructions.
• Time Management:
  Can generally use time effectively and is working towards improving task prioritization and deadline management.
• Technical Expertise:
  Can apply technical knowledge and skills effectively in most situations, with occasional guidance.
• Teamwork:
  Can work effectively in a team, contributing ideas and effort, and respecting the contributions of others.

• The ability to understand and utilize cloud computing technologies, including virtualization, IaaS, PaaS, and SaaS delivery models, to implement and manage scalable cloud solutions. – Intermediate
• The ability to write, debug, and maintain code in various scripting and programming languages to automate tasks and develop software solutions. – Intermediate
• The ability to define, design, build, and maintain robust systems and solutions by leveraging systems and infrastructure effectively. – Intermediate
• The ability to systematically identify, document, and manage the technical needs and specifications of a project by engaging with stakeholders and analyzing business objectives to ensure successful project outcomes. – Intermediate
• Proficiency in implementing and managing Dev Ops practices, including continuous integration, continuous delivery, infrastructure as code, and monitoring. – Intermediate