Senior Data Engineer

IDT; Lima Metropolitana, Huancavelica; On-site; PEN 302,000 - 437,000; Full time

Benefits offered by this job

Remote work opportunity

B2B Employment (gross)

Stable job with growth

High-end hardware

Learning and growth opportunities

Training and conferences

Referral program

English classes supported

Job summary

IDT is seeking a Senior Data Engineer to join our LATAM BI team, designing, building, and maintaining end-to-end data pipelines, data warehouses, and AI-driven BI.

Candidates should have 8+ years in data engineering, strong Python, Spark, Hadoop, Kafka, SQL/PLSQL, and experience with Snowflake/Redshift. Remote LATAM position with in-person verification and collaboration with global teams.

Qualifications

• 8+ years of experience as a Data Engineer.
• Proficiency in Python for data engineering tasks, including transformation and large-scale processing.
• Hands-on with Spark, Hadoop, Kafka for distributed processing and real-time ingestion.
• Experience designing pipelines extracting data from RDBMS, JSON, API, and flat files.
• Strong SQL/PLSQL and BI/data warehouse knowledge with cloud DB services.
• Familiarity with Unix/Linux and Agile methodologies.
• Strong English communication with BI team and users.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingestion, transformation, and delivery.
• Develop workflows to store and retrieve semantic representations of unstructured data for advanced search and retrieval.
• Architect lightweight analytics and dashboards to deliver NLQ experiences and AI-backed insights.
• Define and execute prompt engineering processes, orchestration flows, and model fine-tuning for conversational interfaces.
• Oversee vector data stores and indexing for RAG workflows.
• Collaborate with data stakeholders to translate requirements into scalable solutions.
• Create and maintain documentation for data processes and deployment routines.
• Stay informed on emerging data engineering, MLOps, and LLM methodologies.

Skills

Python

Big data

Spark

Hadoop

Kafka

SQL/PLSQL

BI/Data warehousing

English communication

Agile

Tools

Snowflake/Redshift

Unix/Linux

Git

APIs/Data modeling

Job description

This is a full-time opportunity for aSeniorData 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 enablingdata-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.

In-person verification will be conducted. Fake profiles will be reported.

Only accepting applicants from LATAM.