SENIOR DATA ENGINEER (REMOTE - LATAM)

40.000.000 - 80.000.000


About Jobgether: 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. One of our companies is currently looking for a Senior Data Engineer in LATAM . We are seeking a highly experienced Senior Data Engineer who thrives in a collaborative, high-performance environment and is passionate about building robust, scalable data systems. You will work at the core of the engineering team, designing and maintaining complex backend systems and data pipelines that power mission-critical applications. This is a hands-on position involving everything from architecture to deployment and performance tuning. If you enjoy working with big data technologies, functional programming, and solving technical challenges across cloud environments, this is your opportunity to drive impact in a fast-paced, product-oriented team. Accountabilities:








Design and maintain scalable backend systems and data pipelines for batch and real-time processing Own full project lifecycles from architecture through deployment and monitoring Collaborate with product managers, UX designers, and engineering teams to deliver high-quality, data-driven solutions Write clean, testable, and well-documented code following best software engineering practices Review code, define technical direction, and enforce coding standards Mentor fellow engineers and contribute to knowledge-sharing across the team Continuously improve system performance and identify opportunities for technical enhancement

Requirements
8+ years of experience in data engineering or related backend roles, preferably in Agile environments Proficiency in Scala and distributed data processing tools such as Apache Spark Deep understanding of PostgreSQL, ClickHouse, and scalable NoSQL solutions like ScyllaDB Experience with CI/CD (Jenkins), containerization (Docker), and cloud infrastructure (AWS) Familiarity with Airflow, Hive, Redis, and Kafka for data orchestration and streaming Ability to design secure, maintainable systems and lead large-scale infrastructure projects Strong version control skills with Git and a commitment to testing and code reliability Excellent communication skills with the ability to collaborate across cross-functional teams

Benefits
Competitive salary and stock options Health insurance and wellness benefits Unlimited paid time off and parental leave Tuition reimbursement for continuous learning Flexible remote work opportunities across LATAM Inclusive and collaborative team culture Access to cutting-edge technologies and global engineering best practices

Jobgether Hiring Process Disclaimer
This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates. Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered. Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round. If you are among the top 5 candidates, you will be notified within 7 days. If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience. Thank you for your interest!
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