Open to new graduatesEducation / Level: Recent graduate or early-career professional in Computer Science, Data Engineering, Software Engineering, Applied Math, or related technical fields
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Databricks
PySpark
Where the posting names them
What you'll do
- Build & Maintain Pipelines: Design, develop, and optimize data pipelines and integration scripts using Databricks, SQL, Python, and Git to automate workflows across the entire Operations team.
- Leverage AI-Powered Development Tools: Use AI coding assistants and agentic development tools to accelerate implementation, troubleshoot complex logic, and build, test, and iterate on high-quality automation solutions efficiently.
- Education / Level: Recent graduate or early-career professional in Computer Science, Data Engineering, Software Engineering, Applied Math, or related technical fields.
- Core Tech Stack: Strong foundational knowledge of programming logic, SQL, Python, and version control using Git.
- Data Platform Familiarity: Hands-on project or academic experience with Databricks or PySpark/data processing environments.
- Core Tech Stack: Strong foundational knowledge of programming logic, SQL, Python, and version control using Git.
- Data Platform Familiarity: Hands-on project or academic experience with Databricks or PySpark/data processing environments.
- AI-Assisted Workflow: Experience or high comfort using AI coding tools (e.g., Claude Code, Codex) as a primary way to write, refactor, and speed up code development.
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Applying through Greenhouse
No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
We are looking for a talented Associate Data Engineer to join Wildlife’s Operations team in São Paulo, Brazil.
Sitting at the intersection of business strategy, technology, and execution, our Operations organization spans Finance, Corporate Development, People, and Legal. We're on a mission to transform these functions into an AI-native operation, fundamentally rethinking how work gets done.
This is where you come in. You will play a critical role in driving this transformation, sitting at the center of the AI revolution within our business. You will design, build, and maintain the data pipelines, AI-powered workflows, and automation systems that replace manual processes, unlock new capabilities, and enable our teams to operate at a whole new level of scale and efficiency.
What you'll do
Build & Maintain Pipelines: Design, develop, and optimize data pipelines and integration scripts using Databricks, SQL, Python, and Git to automate workflows across the entire Operations team.
Leverage AI-Powered Development Tools: Use AI coding assistants and agentic development tools to accelerate implementation, troubleshoot complex logic, and build, test, and iterate on high-quality automation solutions efficiently.
Partner with Stakeholders: Collaborate closely with non-technical business partners to understand operational pain points, translate business logic into technical requirements, and deliver automated solutions.
Ensure Data & System Quality: Monitor, audit, and maintain data integrity and workflow reliability across connected operational systems.
Continuous Process Improvement: Identify bottleneck routines, map existing workflows, and proactively implement automations that eliminate manual overhead.
What you'll need
Education / Level: Recent graduate or early-career professional in Computer Science, Data Engineering, Software Engineering, Applied Math, or related technical fields.
Core Tech Stack: Strong foundational knowledge of programming logic, SQL, Python, and version control using Git.
Data Platform Familiarity: Hands-on project or academic experience with Databricks or PySpark/data processing environments.
AI-Assisted Workflow: Experience or high comfort using AI coding tools (e.g., Claude Code, Codex) as a primary way to write, refactor, and speed up code development.
Cross-Functional Communication: Outstanding communication skills with the ability to explain complex technical solutions clearly to non-technical business teams.
Language & Presence: Advanced/Fluent English and ability to work hybrid from our São Paulo office (Itaim Bibi) 3 days/week.
More about you
You are naturally curious, proactive, and thrive on solving complex logical puzzles.
You are comfortable taking initiative and working in a fast-paced environment with ambiguity.
You bridges the gap easily between technical implementation and business context.
You default to leveraging technology and AI to automate repetitive problems rather than doing them manually.
About Wildlife
Wildlife is one of the leading mobile game developers and publishers in the world. We have released more than 60 titles, reaching billions of people around the globe. Today, we have offices in Brazil, Argentina, Ireland, and the United States. Here, we create games that will excite, intrigue, and engage our players for years to come!
Equal Opportunity
Wildlife is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based on race, colour, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.
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Pay
No pay amount identified in the saved description.
Location & working pattern
São Paulo, Brazil
- Cross-Functional Communication: Outstanding communication skills with the ability to explain complex technical solutions clearly to non-technical business teams.
- Language & Presence: Advanced/Fluent English and ability to work hybrid from our São Paulo office (Itaim Bibi) 3 days/week.
More about you
Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.