Data Engineer

SHI; Austin (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Diversity commitment

Growth opportunities

Health benefits

Financial benefits

World-class facilities

Job summary

SHI is building new digital experiences for internal users, customers, and partners. The Data Engineer will analyze, design, and develop data pipelines and ETL workflows to centralize and maintain data.

This role will guide data integration and establish a new data engineering practice within the product organization. The engineer will partner with data engineers, data scientists, and AI engineers to deliver enterprise-scale analytics solutions and ensure data quality and accessibility across

Qualifications

• Experience designing, developing, and maintaining data pipelines and ETL workflows.
• Ability to transform raw data into reusable analytics assets for business insights.
• Knowledge of data platforms and associated tools to enable analytics initiatives.

Responsibilities

• Design, develop, and implement scalable data pipelines and software solutions for analytics.
• Collaborate with data engineers, scientists, and AI engineers to deploy analytics solutions.
• Analyze requirements and convert raw data into usable analytics assets.
• Ensure data quality, version control, and deployment best practices.
• Troubleshoot data and software issues and implement improvements.
• Work with solution architects to integrate analytics into broader architecture.
• Document data processes and software for knowledge sharing.
• Support data-driven decision making through data analysis.
• Assist in developing testing frameworks and development environments.
• Collaborate on long-term data platform architecture strategy.

Skills

Data pipelines

ETL workflows

Analytics

Data quality

Documentation

Job description

US - TX - Home Office

Full time

JR3632

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.

Job Summary

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.

Role Description

• 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.

Behaviors and Competencies

• 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.