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Sensor Tower

Delivers mobile app intelligence and analytics

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeVancouver, BC, CanadaHybrid

About the Job

Requirements

  • At least 5 years of experience in data modeling and data analysis.
  • At least 2 years of experience with most of the core technologies: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow.
  • A solid grasp of the modern software development lifecycle.
  • Experience working in a diverse and international environment.
  • Experience in the mobile app, advertising, or gaming ecosystem.
  • Experience with product design and infrastructure challenges.
  • A major in Mathematics or Computer Science.

Responsibilities

  • Take end-to-end ownership of the data product lifecycle, from business understanding, data analysis, product design, development, and deployment through delivery.
  • Develop high-quality data programs using PySpark and own 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.
  • Drive communication and coordination across teams to clarify or redefine goals and ensure data products meet evolving business requirements.
  • Explore and evaluate new technologies in the data ecosystem and share insights with the team.
  • Align technical solutions with business needs by applying product sense and problem-solving.

Desired Qualifications

  • Experience with Pandas, scikit-learn, or other data science and data analysis tools.
  • A background in data mining and machine learning, including familiarity with common algorithms and libraries.

About the Company

Sensor Tower

Delivers mobile app intelligence and analytics

Sensor Tower provides business intelligence and data analytics for the mobile app ecosystem, offering insights on app performance, user acquisition trends, and the competitive landscape across iOS and Android for millions of apps. Its platform uses modules such as App Intelligence (ASO and creative analysis), Store Intelligence (downloads and revenue estimates), Ad Intelligence (mobile ad spend and networks), and Top Charts (real-time leaders), all delivered through a tiered subscription. It differentiates itself by uniting multiple data domains focused on mobile apps into one platform, serving everyone from individual developers to large enterprises. Its goal is to help clients grow their mobile businesses by turning data into actionable insights for performance, marketing optimization, user acquisition, and monetization.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$46M
Headquarters
San Francisco, CA
Founded
2012

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