This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer, Databricks in Latin America.

As a Senior Data Engineer, you will play a pivotal role in guiding organizations through their data modernization journey, leveraging Databricks as a core platform. You will work closely with fast-paced, innovative companies to design, implement, and optimize scalable data pipelines, data warehouses, and streaming systems. Acting as a trusted advisor, you will provide strategic guidance on ETL/ELT, data modeling, governance, and BI/AI integration. This role combines hands-on engineering with consultative expertise, allowing you to influence technology decisions and accelerate client transformations. You will collaborate within a dynamic, remote-first environment that values innovation, problem-solving, and knowledge sharing across teams.

Accountabilities:

Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Spark.
Implement data solutions leveraging Delta Lake, Databricks Delta Live Tables (DLT), and structured streaming.
Develop and optimize production Spark applications with Python, PySpark, and Spark SQL.
Ensure data security, governance, and compliance best practices are integrated throughout pipelines.
Collaborate with clients and internal teams to translate business requirements into technical solutions.
Provide guidance on BI/AI integration and analytics solutions to derive actionable insights from data.
Serve as a trusted technical advisor, supporting customer adoption and success with Databricks solutions.

Requirements

5+ years of experience in data engineering, with 2+ years working on Databricks.
Preferred: Databricks Data Engineer Associate or Professional certification.
Hands-on experience with Databricks notebooks, clusters, jobs, workflows, serverless SQL, Unity Catalog, repos, dashboards, and DLT.
Strong skills in Python, PySpark, Spark SQL, and advanced SQL querying.
Solid understanding of Delta Lake technology and its application in data pipelines.
Experience with distributed data processing, streaming systems, data modeling, and data warehousing.
Familiarity with multiple relational and non-relational databases and modern data architectures.
Strong problem-solving, communication, and collaboration skills in a remote-first environment.

Benefits

Competitive compensation package with performance-based incentives.
Fully remote work with flexible hours.
Opportunity to work on cutting-edge data modernization projects across various industries.
Collaborative and supportive team environment fostering knowledge sharing and mentorship.
Continuous learning opportunities with access to training, certifications, and industry best practices.
Inclusive and diverse workplace with a culture of empathy and respect.

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 three 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!

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