Senior Data Engineer

Sensor Tower • Vancouver, BC

65d

About The Position

Sensor Tower's digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods, finance, and investment.

Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy and are looking to increase app downloads through app store optimization.

We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence.

Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters.

As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred engineers globally and are preparing for much more growth in the coming years.

We are looking for an experienced and passionate professional to focus on developing our products in the fast-growing exciting environment. You will report to our Engineering Manager while working closely with the cross-functional product development team and founders.

Requirements

• 5+ years experience working on Data Modeling and Data Analysis domain.
• Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow.
• Solid grasp of modern software development lifecycle.
• Ability to efficiently navigate complex multiconstraint decision-making.
• Experience working in a diverse and international environment.
• Experience in the mobile app, advertising, or gaming ecosystem.
• Experience with product design and infrastructure challenges.
• Major in Math or Computer Science.

Nice To Haves

• Experience in Pandas, Sklearn or other data science and data analysis toolset is a big plus.
• Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus.

Responsibilities

• Take end-to-end ownership of the data product lifecycle - from business understanding, data analysis, product design, development, deployment, to delivery.
• Think beyond coding: bring strong product sense, flexibility in problem-solving, and the ability to proactively align technical solutions with business needs.
• Drive communication and coordination across teams to clarify or redefine goals, ensuring data products meet evolving business requirements.
• Develop high-quality data programs using PySpark, with strong ownership of data mining and processing challenges.
• Conduct code reviews, software design and architecture, and pair programming.
• Collaborate closely with product managers and data scientists to design and deliver impactful data products.
• Explore and evaluate new technologies in the Data ecosystem, sharing insights with the team.

Benefits

• Flexible time off so employees can shape their time away from work.
• Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness.
• Wi-Fi Allowance.
• Monthly internet stipend and a one-time $500 home office stipend.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior