📍 Uruguay • 🏢 Hybrid
Junior Data Engineer
Launch Your Data Engineering Career
Are you ready to jumpstart your career in the world of data engineering? SunnyData is looking for talented individuals to join our growing team!
About SunnyData
At SunnyData, our mission is to guide customers through their data journey to power business success. We believe a solid foundation is the key to achieving outstanding data-driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers, and accurate ML and AI applications.
Why SunnyData?
Work with cutting-edge data technologies
Learn from industry experts in Databricks implementation
Develop your skills across multiple client projects
Be part of a team that values continuous learning and innovation
Hybrid work environment offering flexibility and collaboration
The Role
As a Junior Data Engineer, you'll play a vital role in our customers' journeys. You'll work directly with both internal teams and clients to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning, and Business Intelligence insights.
The Impact You'll Have
Join a team supporting new and existing customers with their data engineering needs
Help guide customers toward optimal technical decisions to achieve their goals
Work across multiple customer accounts, tracking and reporting on progress
Design, build, and operationalize complex data solutions
Identify and fix issues, apply transformations, and recommend data quality solutions
Analyze data sources to determine their value in analytical processes
Implement data governance, security, and quality best practices
Collaborate across teams to support delivery and educate users on data products
Perform analysis and resolution for data defects and incidents
Test data movement, transformation code, and data components
What We’re Looking For
Bachelor's Degree in Computer Science or an engineering-related field.
Highly motivated individual with a continuous learning mindset
Partial (6h) or full-time (8h) availability
Familiarity with public cloud platforms (AWS, Azure, or GCP)
Strong English verbal and written communication skills.
Excellent time management and prioritization skills.
✨ Nice to Have
Experience with Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
Knowledge of Data Science and Machine Learning technologies (e.g., pandas, scikit-learn)
Background in Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
Databricks data engineering or machine learning certification
💰 Salary Range
$1,400 - $2,000