Data Engineer

Viasat, Inc. • Carlsbad, CA

19d

About The Position

The DevOps Commercial Mobility team is focused on providing solutions to provide a world-class in-flight connectivity service to commercial airlines. As a key member, you will shape the future of large-scale distributed systems through innovative designs, architectures, and methodologies. As part of our DevOps model, you will help develop the service and own it from cradle to grave, including conducting periodic on-call duties using a follow-the-sun model.
The ideal candidate possesses strong communication skills, a commitment to continuous learning, adaptability, creativity, and ingenuity. They demonstrate a passion for resolving complex technical issues through innovative and automated solutions. Furthermore, they are adept at collaborating with operations teams, providing necessary support, analyzing large data sets, and effecting problem resolution.

As part of the Revenue Assurance product team, you'll be right in the mix, owning the key microservices that measure and calculate Viasat's industry-leading In-flight Connectivity SLA's and ensuring our billing system gets the accurate accounting data it needs and that we're hitting our service goals. Day-to-day, this means you'll be developing and analyzing the KPIs that really show how passengers are experiencing our service. You'll also be building and maintaining the data pipelines that pull together and organize all the metrics that eventually land on customer invoices.

Requirements

• Typically requires 4+ years of related experience with commercial software development in building distributed applications and with a Master's degree in Computer Science or Computer Engineering; or 6+ years related experience with a Bachelor's degree in Computer Science or Computer Engineering; or 8+ years related experience without relevant degree
• Strong working knowledge of two or more of: Java, Python, SQL
• Experience designing and implementing Airflow DAGs for data pipelines and workflows
• Experience with cloud-based technologies, preferably Google Cloud Platform
• Ability to work on distributed remote agile teams with a high degree of self-motivation and ability to work independently
• Excellent communication and collaboration skills to drive interaction with peer developers, architects, engineering and product managers
• Experience with or willingness to learn agile methodologies (Kanban, SCRUM, XP), modern software development environments and DevOps practices
• Experience with algorithms, data structures, complexity analysis, and software design
• Ability to travel up to 10%

Nice To Haves

• Experience with Data Engineering
• Experience with data warehousing technologies (e.g., Snowflake, BigQuery) or relational database administration (e.g., Postgres, MySQL, or Oracle)
• Experience with GoLang
• Broad range of technology interests across different disciplines including computer and system architecture, performance analysis, distributed systems design, testing and verification technologies, data processing and networking, and running software services at scale
• Technical and software engineering background in the areas of cloud computing, enterprise computing, servers, and virtualization technology and products
• Expertise in designing, analyzing, and troubleshooting large-scale distributed systems
• Experience in designing and implementing automated software component and integration tests
• Systematic problem-solving approach, coupled with a strong sense of ownership and drive
• Experience with development of SOX compliant systems

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees