Data Engineer

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This position is posted by Jobgether on behalf of a partner company.
We are currently looking for a Data Engineer (Databricks) in Latin America.
This role offers a unique opportunity to design and implement high-performance data solutions on the Databricks platform, supporting business-critical analytics and cloud-based data ecosystems.
You will manage complex datasets, build scalable ETL pipelines, and collaborate with cross-functional teams to translate raw data into actionable insights.
The position requires both hands-on technical expertise and strategic thinking, allowing you to shape the data architecture, optimize processes, and drive innovative solutions.
You will play a key role in enabling data-driven decisions across diverse teams while staying at the forefront of cloud and big data technologies.
This is a fully remote role in a dynamic, fast-paced environment with ample opportunities for professional growth and impact.
Responsibilities
Design, implement, and maintain ETL pipelines in the Databricks environment for both batch and real-time data workflows
Develop Databricks solutions that integrate seamlessly with existing data architecture while ensuring scalability and performance
Optimize Databricks databases, including data structures, indexes, and query performance
Monitor and report on system performance, ensuring data quality, integrity, and adherence to QA processes
Analyze large datasets and communicate insights effectively to business stakeholders through clear storytelling
Collaborate with data engineers, analysts, and other teams to align on data strategy and best practices
Provide guidance on Databricks features, optimization techniques, and cost-efficiency opportunities
Requirements
4+ years of experience as a Data Engineer, preferably with hands-on experience in Databricks
4+ years of expertise in SQL, data modeling, and ETL processes
2+ years of experience with Python for data processing and automation
Proficiency with Databricks features: Delta Lake, PySpark, MLflow, Databricks SQL, Unity Catalog, and Job Scheduling & Workflows
Experience with cloud platforms such as AWS, Azure, or Google Cloud and related data integration tools
Strong problem-solving skills, attention to detail, and ability to work independently or collaboratively in fast-paced environments
Excellent communication skills, capable of conveying complex data concepts to non-technical stakeholders
Experience in agency settings or working with external clients is a plus
English proficiency at C1 level
Preferred Qualifications
Knowledge of data visualization tools such as Tableau or Power BI
Understanding of data governance and security best practices
Benefits
Competitive compensation based on experience and market standards
100% remote work, allowing flexible location within Latin America
Exposure to cutting-edge cloud and big data technologies
Opportunity to work on high-impact projects with cross-functional international teams
Continuous learning and career development opportunities in a fast-paced, innovative environment
Supportive company culture emphasizing growth, collaboration, and innovation
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job\'s core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening.
The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Non-profit Organizations and Primary and Secondary Education
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