Data Engineer

As a Data Engineer, you will design, build, and manage components of our highly available real-time data platform handling petabytes of data. Our platform is designed to ingest and process billions of events per day, and make the resulting aggregations and insights available within minutes in our analytical data stores. Our customers rely on this data for complex ad hoc “slice and dice” queries to drive their day to day mobile growth strategies.  Data is at the core of our business, and we’re constantly innovating to make our systems more performant, timely, cost-effective, and capable while maintaining high reliability. You will build on top of our core data infrastructure and pipelines using technologies and tools tailored for massive data sets including Flink, Spark, Kafka, and Druid while working in the AWS cloud environment.  

If you are interested in building systems that can consume and explore billions of data points a day, work with petabytes of data, and want to push what is possible with data, this is the place for you!

As a Data Engineer, you’ll get to:

• Architect, build, and own real-time and batch data aggregation systems to deliver quality analytical reports for our internal and external customers.
• Collaborate with Data Scientists, Backend Engineers, Data & Infrastructure Operations, and Products Managers to deliver new features and capabilities for customers.
• Develop clean, safe, testable, and cost-efficient solutions.
• Make well-informed decisions with deep knowledge of both the internal and external impacts on teams and projects. Foresee shortcomings ahead of time and be able to drive to resolution.

You’ll be a good fit if you have:

• BS in Computer Science or equivalent.
• 4+ years of total software engineering experience, 2+ years in Data Engineering.
• 2+ years of professional development experience in Java or Scala.
• Solid background in the fundamentals of computer science, distributed systems, large scale data processing as well as database schema design and data warehousing.
• Practical experience managing AWS or Google Cloud environments.
• Experience in containerized deployment or Kubernetes is a big plus!
• Good understanding of a broad spectrum of NoSQL, traditional RDBMS, and analytical/columnar data stores including Postgres, Druid, Vertica, Redshift, Hive, Cassandra, Aerospike, and Redis.
• Ability to build systems that balance scalability, availability, and latency.
• Strong ability to advocate for the continual deployment and automation tools, monitoring, and self-healing systems that can help improve the lives of our engineers.
• Great communication skills and you are a team player who has a proven track record of building strong relationships with management, co-workers, and customers.
• A desire to learn and grow, push yourself and your team, share lessons with others and provide constructive and continuous feedback, and be receptive to feedback from others.

This role will be based at our Austin, TX office and follows a Hybrid schedule that will be aligned with our Return to Office guidelines. However, we are also open to full-time remote candidates. This role does not qualify for relocation or visa sponsorship.

In accordance with applicable law, the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role, if based in Austin, TX, is $116,000 to $149,000.

Please note that this information is provided for those hired in Austin, TX only. Compensation for candidates outside of Austin, TX will be based on the candidate’s specific work location. 

Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above.