About this role
Job title: Data Engineer
About the Role As a Data Engineer, you will play a key role in building and optimizing data pipelines that power forecasting and analytics platforms, collaborating with a global engineering organization across product managers and various development teams.
What You'll Do
- Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting
- Work across the application stack, focusing primarily on backend data engineering
- Ensure code quality through reviews, testing, and adherence to best practices
- Collaborate with global engineering pods to maintain consistent coding standards
- Mentor and guide engineers and contractors, fostering technical growth
- Partner with product managers to translate business requirements into scalable solutions
What We're Looking For
- 5+ years of experience in data engineering, including 2–3 years in a senior-level role
- Proficiency in Python and SQL
- Hands-on experience with cloud platforms: Google Cloud and AWS preferred; Azure acceptable
- Strong understanding of data warehousing concepts; experience with BigQuery or similar technologies
- Ability to communicate complex technical concepts clearly to peers and stakeholders
- Bachelor's degree in Computer Science or related field
Nice to Have
- Experience with JavaScript to support legacy code
- Familiarity with Snowflake or other modern data platforms
- Exposure to AI/ML concepts and interest in applying them to data engineering
- Healthcare industry experience is a plus
Compensation & Benefits
- Global benefits package includes: technical and non-technical training, internal conferences and meetups, mentorship, health insurance, English courses, sports activities, flexible work options including remote and hybrid opportunities, referral program, and work anniversary program with additional vacation days