Sobre

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in Latin America.
• We are seeking a Senior Data Engineer to design, develop, and maintain robust, scalable data pipelines and analytics platforms that empower enterprise decision-making. In this role, you will collaborate closely with software engineering, AI/ML, DevOps, and cybersecurity teams to deliver high-quality data solutions. You will have the opportunity to work across the full data lifecycle, from ingestion and processing to storage and visualization, ensuring data reliability and performance at scale. This is a fully remote, flexible position, allowing you to work from anywhere within the region while contributing to critical business operations and analytics initiatives. The ideal candidate is independent, detail-oriented, and passionate about building data systems that have real-world impact.
• Accountabilities
• Design, develop, and maintain end-to-end data pipelines and data stores supporting enterprise analytics, AI/ML, and operations.
• Monitor, analyze, and optimize the performance, stability, and efficiency of data services.
• Collaborate with peers across software engineering, AI/ML, DevOps, and analytics teams.
• Guide, mentor, and support engineers, BI developers, and data analysts.
• Implement infrastructure, alerting, and monitoring frameworks to ensure high-quality data delivery.
• Support internal and external data consumers, including business-critical vendors, through data integration, APIs, and SFTP workflows.
• Bachelor’s degree in Computer Science, Information Systems, or related field (or demonstrated equivalent experience).
• 1–5 years of professional experience in data engineering or related technical roles.
• Proficiency in programming with Python and/or Scala.
• Strong experience with structured (SQL) and unstructured (NoSQL) data management; Redshift experience is a plus.
• Familiarity with data visualization principles and tools such as Power BI or Tableau.
• Experience with cloud-native technologies and services such as AWS S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue, and Terraform.
• Understanding of software development lifecycle, version control (git), and infrastructure-as-code principles.
• Excellent communication skills and ability to work independently in a remote team environment.
• Strong problem-solving skills, attention to detail, and commitment to professional growth.

Desirable skills

• Experience with Infrastructure as Code (Terraform) development.
• Familiarity with enterprise-scale database modeling and feature stores.
• Prior experience mentoring or coaching technical peers.
• Competitive salary paid in USD.
• Fully remote position with flexible working schedule within US time zones.
• Opportunity to work with cutting-edge data solutions in a large enterprise environment.
• Exposure to cross-functional teams and collaboration across software engineering, AI/ML, and analytics.
• Professional growth opportunities in data engineering, architecture, and leadership development.
• Participation in a culturally diverse and inclusive remote team.
• 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!
• #LI-CL1