Live opening · Posted 6 days ago

Senior Data Engineer

IDT Corporation · Santiago, Santiago Metropolitan Region, Chile (Remote)
Linkedin Yes
You are 6 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 6 days ago
CompanyIDT Corporation
LocationSantiago, Santiago Metropolitan Region, Chile (Remote)
Work modeYes
SourceLinkedin
Listed6 days ago

Your early-applicant advantage

Live timing from JobBeeper.

Live data
13 min from Linkedin publishing this role to us finding it
13 min median time from a role going live to a subscriber being told
6 hours subscribers had this role before this page existed
73,681 roles found in the last 24 hours — the newest are not on this site yet
Start your free trial →

About the role

Description supplied by the original job listing.

This is a full-time opportunity for a Senior Data Engineer from LATAM.
Only accepting applicants from LATAM. In-person verification will be conducted.
We are looking for a senior Data Engineer to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI.
Responsibilities:
Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services
Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns
Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights
Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces
Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows
Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions
Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines
Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations
Requirements:
8+ years of experience as a Data Engineer
Demonstrated experience in utilizing Python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing.
Hands-on experience with big data technologies including Apache Spark, Hadoop, and Kafka for distributed processing and real-time data ingestion.
Experience designing complex data pipelines extracting data from RDBMS, JSON, API, and Flat file sources.
Demonstrated skills in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Snowflake/Redshift
Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies.
Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment.
Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights
Effective oral and written English communication skills with BI team and user community.
Pluses
Experience with vector databases such as DataStax AstraDB, and developing LLM-powered applications using popular open source frameworks like LangChain and LlamaIndex-including prompt engineering, retrieval-augmented generation (RAG), and orchestration of intelligent workflows.
Familiarity with evaluating and integrating open-source LLM frameworks-such as Hugging Face Transformers/LLaMA-4 across end-to-end workflows, including fine-tuning and inference optimization
Knowledge of MLOps tooling and CI/CD pipelines to manage model versioning and automated deployments
What we offer:
Remote work opportunity!
B2B Employment ($, gross)
Stable job with long-term growth perspective with talented people around
Really good hardware
Great learning and growth opportunities
Compensation for professional training, seminars, and conferences
Referral program - get rewarded for helping us grow the team with talented people
Company-supported English classes to enhance your professional growth
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.
IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
Our flagship brand, BOSS Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services and supports IDT’s mission of enabling people to keep in touch and share resources with family and friends worldwide.
Please attach CV in English.
The interview process will be conducted in English.
In-person verification will be conducted. Fake profiles will be reported.
Only accepting applicants from LATAM.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
Yes

Get JobBeeper Mobile App

Never miss a job opening! Get instant job alerts on your phone.

Subscribers see fresh openings within minutes. Download the JobBeeper App on Google Play to get real-time push notifications and apply before anyone else.

⚡ Instant Push Alerts 🎯 Tailored Filters 🚀 Direct Employer Links
GET IT ON Google Play

More openings worth a look

Recently tracked roles with full details and direct application links.

6 roles
Good roles move before most people even see them. Tell JobBeeper what you want and get fresh matches delivered in minutes.
Start your free trial →
⚡ Get fresh job alerts 📱 Get App