Data Engineer


Our Team

Hudl’s Decision Science team is a high impact, cross-functional team of Data Analysts, Data Engineers, Analytics Engineers, Predictive Analysts, Data Scientists, and Consumer Insights Researchers. We combine qualitative and quantitative data, partnering with internal Hudl teams and business leaders to provide self-service analytics, actionable insights, and foresights that help them drive their business forward.

As a Data Engineer, you’ll build and maintain our data platforms and ETL that enable these analytics and insights for Decision Science and Hudl as a whole. Our 300TB data platform is a foundation for analytics on mission-critical products and business units, and integrates into customer-facing products to provide data-driven user experiences.

You Are

  • Experienced writing quality, maintainable code and work well with a team to collaborate and build scalable solutions that meet user needs.
  • A good communicator. Whether it’s explaining code to a peer, documenting a system, or presenting an idea to stakeholders, you're articulate and engaging.
  • A constant learner. You actively learn to solve the engineering problems you face, seek input from your peers, and keep up with the rapidly-changing world of engineering & technology.

You Will

  • Build, operate, and support data infrastructure, keeping our ETL pipelines and data platform up and running smoothly. You’ll work with modern big data tools like Spark, as well as with AWS data services like Glue, EMR, Athena, and Redshift.
  • Empower others to use the data platform by deploying tools and processes that enable other teams to produce, discover, and use data.
  • Work closely with other teams, including data analysts, business analysts, product managers, and engineers to understand their data analytics needs and implement solutions to meet them.

You Have

  • 2+ years experience as an engineer. Experience with Python, SQL, AWS, ETL technologies (e.g. Spark), and terraform are a plus.
  • A strong interest in big data tooling, data platforms, ETL, and enabling other teams to use data to accomplish their goals.

Diversity at Hudl

Hudl is an equal opportunity employer.  We understand the power of diverse teams, celebrate differences and champion inclusion.

Privacy Policy

Job ID: 7017

Posted 4 days ago

Share This Job