Senior Software Development Engineer - Data Platform

At Qualtrics, we create software the world’s best brands use to deliver exceptional frontline experiences, build high-performing teams, and design products people love. But we are more than a platform—we are the creators and stewards of the Experience Management category serving over 18K clients globally. Building a category takes grit, determination, and a disdain for convention—but most of all it requires close-knit, high-functioning teams with an unwavering dedication to serving our customers.

When you join one of our teams, you’ll be part of a nimble group that’s empowered to set aggressive goals and move fast to achieve them. Strategic risks are encouraged and complex problems are solved together, by passing the mic and iterating until the best solution comes to light. You won’t have to look to find growth opportunities—ready or not, they’ll find you. From retail to government to healthcare, we’re on a mission to bring humanity, connection, and empathy back to business. Join over 6,000 people across the globe who think that’s work worth doing.

Senior Software Development Engineer - Data Platform

Why We Have This Role

Our team is a collection of deeply passionate engineers who are riding the groundbreaking of cloud computing and web scalability. We built data analytics pipelines and applications that help company leaders gain insights about our company’s data, make sound decisions on technology and customer experience investments.

 

How You’ll Find Success

• Defining and driving data architecture that drives our success as a company
• Shown ability to troubleshoot and identify the root cause of issues
• Demonstrated skill and passion for operational excellence
• Ability to retain composure under stressful conditions, communicate effectively with wide array of individuals at Qualtrics, and get the right things done
• Ability to understand large systems, drilling down to code level

 

How You’ll Grow

• Passionate about data and getting data to the hand of people and effectively get their job done
• Curious and constantly learning on your own and from others
• You get satisfaction from helping others succeed, and you constantly seek ways to improve
• You can identify gaps, propose solutions to important problems, then take it to resolution

 

Things You’ll Do

• Developing scalable, fast, robust, and simple self-service data analytics solutions to solve complex business problems
• Help us shape our data governance process and streamlining data accessibility
• Close collaboration with your team to collect and incorporate feedback into your feature design
• Drive operational excellence by investigating production issues, driving root cause analysis and follow-up actions for mitigation
• Improve performance, availability, reliability, scale, throughput and latency
• Work with your team in order to meet customer work you're doing, understand the decisions that are being made and make your voice heard

 

What We’re Looking For On Your Resume

• Bachelor's degree in Computer Science, IT, or related field.
• 5+ years of professional coding experience with any programming language (prefer experience in TypeScript/JavaScript/React/Python).
• 3+ years of professional experience building data infrastructure, frameworks, and tools.
• Experience with web infrastructure and distributed systems.
• Proven experience managing data platform systems (e.g., Spark, Airflow) and optimizing the performance of data warehousing technologies such as Snowflake, AWS Redshift, and Google BigQuery. 
• Experience with software engineering best practices (e.g. unit testing, code reviews, design, continuous delivery, git, test automation and build/deploy systems)
• Ability to work in a fast-paced and agile development environment and to learn new frameworks/stacks

 

What You Should Know About This Team 

• Our environment is primarily Python, TypeScript/JavaScript, AWS, Kubernetes and Docker.
• Some of our tools that we use day to day: Redshift, Airflow, dbt.
• In our collaborative culture, you’ll find plenty of opportunities to impact our full-stack products in the realm of data; from data processing and storage to data visualization & analysis and from the orchestration and scheduling of data intensive applications at a scale to the monitoring, alerting and observability of data health metrics.

 

Our Team’s Favorite Perks and Benefits

• We spend 10% of our time on individual engineering growth activities every quarter
• We participate in personal