Data Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineer Brasil We're looking for a Data Engineer to join Wildlife's Analytics & Insights team. Wildlife is one of the largest mobile gaming companies in the world. Behind every game we ship, there's a data infrastructure that tells us how players behave, how much revenue each title is generating, and how the operation is performing day to day. As a Data Engineer on the Analytics & Insights team, you'll work on the core products and platform that make this data trustworthy and available to everyone who depends on it, from game teams, marketing operations, and data scientists. Some of the challenges you'll work on: - Support the decision-making of our games operations through high-quality data products and well-structured dashboards; - Building and evolving integrations with third-party APIs, such as app stores, ad networks, and other external data providers; - Developing our internal event streaming process, responsible for the analytical and backend events; - Designing and maintaining the pipelines and tables that power our revenue, player, KPI, crashlytics, and experimentation data; - Operating and evolving the data platform itself, including Airflow, Databricks workspace, data lake, and Looker. We know the work we do has a high impact on the company's success. The right person for this role is naturally curious, comfortable taking the initiative, loves solving problems end-to-end, and can thrive in a fast and growing business. What you'll do - Solve open-ended problems that directly affect how the company tracks revenue, players, and game performance; - Take projects end-to-end

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.