Sensor Tower
More roles at Sensor TowerSenior Data Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Vancouver, Canada
Employer listed it 7 days ago · Added 4 days ago
First listed 7 days ago and still open.
Salary
Not stated
Location
Hybrid · Vancouver, Canada
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM.
- Where you can work from
Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
- Contract
- Not mentioned in the advert
- Experience asked for
5+ years experience working on Data Modeling and Data Analysis domain.
- Pay
Monthly internet stipend and a one-time $500 home office stipend.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Vancouver, Canada, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Vancouver, Canada, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “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.”
Written as a nice-to-have
- “Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus.”
Questions worth asking: Nomaders interpretation
- This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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 and finance.
Who We Are
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.
Role Summary
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.
What You’ll Do
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.
What We’re Looking For
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.
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.
Solid grasp of modern software development lifecycle.
Ability to efficiently navigate complex multiconstraint decision-making.
Experience working in a diverse and international environment.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
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.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Sensor Tower, mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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Pay not stated · You'll be taken to the employer's careers page.