Data Engineer, Early Career

About Us

One team. Global challenges. Infinite opportunities. At Viasat, we’re on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments, and militaries around the globe communicate. We’re looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.

What You’ll Do

The Mobility Data Products team sits within the Data & Artificial Intelligence function, which is responsible for the platforms, infrastructure, and governance required to transform Viasat’s network data into actionable insights and automated AI solutions. By providing integrated data streaming, advanced analytics, and responsible AI frameworks, the function enables data-driven decision-making and optimizes operations across the enterprise.

The Mobility Data Products team builds the monitoring and reporting tools and services for our In-Flight Connectivity (IFC) products. These rich tools enable users to visualize the vast array of data traversing our satellite networks, providing insights into the quality of service being delivered, as well as how our satellite connectivity services are being utilized by our end customers.

The performance of these tools and the accuracy of the information they provide is critical to Service Delivery, Marketing, and Strategic teams across the business, as well as to our customers, suppliers, and partners.

As a Data Engineer within the Mobility Data Products team, you will design and build the deployment and operation of solutions to capture, manage, store, and utilize structured and unstructured data from internal and external sources, with a strong focus on AI-driven development toward stability, modernization, and continuous improvement.

The Day-to-Day

• Establish and build processes based on business and technical requirements to channel data from multiple inputs and store using any combination of distributed (cloud) structures, local databases, or other applicable storage forms.
• Develop and own technical tools leveraging big data to cleanse, organize, and transform data to maintain data structures and integrity in an automated, real-time basis.
• Develop solutions that are functional, reliable, maintainable, scalable, and extensible.
• Resolve complex issues and bugs that may impact multiple business areas.
• Maintain relationships with internal and external stakeholders.
• Collaborate with Data Engineers, Software Engineers, and Data Scientists both within the team and across the business.
• Participate in on-call rotations to provide technical support outside regular business hours, ensuring system reliability and timely incident response.
• Communicate verbally and in writing with remote international teams frequently.
• Write clear and relevant documentation.

Additional Information

• This position is site-based. Site-based employees work 3+ days (60%+) per week from a Viasat office or work location within a standard five-day work week. Relocation assistance is available pending eligibility.

What You’ll Need

• Education: Completion of a Bachelor’s degree or higher in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Mathematics, Physics, or a related field.
• Citizenship: This position requires a valid work permit or visa for the country you would be located in and working from.
• Additional:
  • Foundational level Python, including data manipulation packages.
  • Foundational level SQL.
  • Foundational level AI-assisted coding and automation tools (Claude Code preferred).
  • Familiarity with cloud-based data platforms (GCP preferred).
  • Familiarity with the Software Development Lifecycle, including source control (Git preferred) and CI/CD practices (automation and testing).

What Will Help You on the Job

• Experience with cloud platforms and AI-assisted coding.
• Familiarity with big data and data processing technologies.
• Creative problem-solving.
• Meticulous attention to detail.
• Comfortable working independently and taking ownership.
• Willingness to work outside of your area of expertise.