Senior Data Engineer
Sensor Tower22 days ago
Vancouver, CanadaSenior
Responsibilities
- Own the end-to-end data product lifecycle from business understanding and analysis through design, development, deployment, and delivery.
- Develop high-quality data programs using PySpark and solve data mining and processing challenges.
- Conduct code reviews, software design and architecture, and pair programming.
- Collaborate with product managers and data scientists to design and deliver data products.
- Coordinate across teams to align technical solutions with evolving business requirements.
- Explore and evaluate new technologies in the data ecosystem and share findings with the team.
Requirements
- 5+ years of experience working in data modeling and data analysis.
- At least 2 years of experience with most of the core technologies, including Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow.
- Strong engineering skills and experience with product design and infrastructure challenges.
- Experience with Pandas, scikit-learn, or other data science and data analysis tools is preferred.
- Background in data mining and machine learning, including familiarity with common algorithms and libraries, is preferred.
- Experience working in a diverse and international environment.
- Experience in the mobile app, advertising, or gaming ecosystem is preferred.
- Major in Mathematics or Computer Science.
Benefits
- Flexible time off.
- Health and wellness stipend for physical and mental fitness.
- Wi-Fi allowance.
- Monthly internet stipend and a one-time $500 home office stipend.
- Flexible work environment with global teams across multiple regions and time zones.
Tech Stack
Categories
Data Engineering
About Sensor Tower
Sensor Tower provides a digital intelligence platform that tracks market trends, app performance, web traffic, and advertising across mobile, web, and gaming for brands, publishers, and investors. It sells subscription SaaS products spanning App Intelligence, Audience & Web insights, and Digital Advertising Insights (formerly Pathmatics). Founded in 2013 and headquartered in San Francisco, its datasets are used by more than 2,500 enterprises across sectors to benchmark competitors and guide growth and investment decisions.