Senior Data Engineer

KMS Technology; Región Centro; Presencial; MXN 1.145.172 - 1.497.533; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Mexican law benefits

15 days of PTO

5 days family leave

Major Medical Expenses Insurance

Annual performance bonus

Paid Certifications/Courses

Employee Referral Bonus

5% Savings Fund

5% Grocery Vouchers

Descripción de la vacante

KMS Technology is seeking a highly skilled Senior Data Engineer based in Mexico, Jalisco, Región Centro. The role involves designing, building, and maintaining scalable data pipelines using Google Cloud Platform and BigQuery, integrating data from multiple sources such as OpenAI APIs.

Ideal candidates have over 5 years of experience in data engineering and possess strong problem-solving skills, along with the ability to collaborate effectively in dynamic environments.

Formación

• 5+ years of experience in data engineering or related roles.
• Strong hands-on experience with Google Cloud Platform.
• Advanced experience with BigQuery for analytics.

Responsabilidades

• Design and maintain scalable data pipelines and ETL/ELT workflows in GCP.
• Build and optimize data solutions using BigQuery for analytics.
• Integrate data from external APIs, including OpenAI and Claude.

Conocimientos

Google Cloud Platform

BigQuery

Analytics

Data Engineering

API Integration

Problem-solving

Herramientas

Looker

Microsoft Power BI

Descripción del empleo

At KMS Technology, we are dedicated to delivering cutting‑edge solutions and services that empower businesses to achieve their goals. Our team is composed of highly skilled professionals who are passionate about technology and innovation. We provide a dynamic and collaborative work environment where you can grow your career and make a significant impact.

Job Description

We are seeking a highly skilled Senior Data Engineer with strong experience in Google Cloud Platform, BigQuery, and modern analytics and AI‑driven data solutions. This role is responsible for designing, building, and maintaining scalable data pipelines and reporting solutions that support business intelligence, operational analytics, and AI usage tracking.

You will work closely with technical and business stakeholders to integrate data from multiple sources, including AI platforms such as OpenAI and Claude APIs, while ensuring reliable storage, transformation, and reporting processes. The ideal candidate combines strong data engineering expertise with a solid understanding of reporting platforms and API‑driven integrations.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows within Google Cloud Platform environments.
• Build and optimize data solutions using BigQuery for large‑scale analytics and reporting.
• Integrate and process data from external APIs, including OpenAI and Claude APIs.
• Develop solutions to track and analyze AI token usage, consumption metrics, and related operational data.
• Design and maintain reliable data storage and collection processes for structured and semi‑structured datasets.
• Collaborate with stakeholders to define reporting requirements and support analytics initiatives.
• Support and optimize reporting solutions using modern BI tools.
• Ensure data quality, consistency, and performance across reporting and analytics workflows.
• Troubleshoot and resolve data pipeline, reporting, and integration issues.
• Document technical solutions, data flows, and operational processes to support maintainability and scalability.

Qualifications

• 5+ years of experience in data engineering or related roles.
• Strong hands‑on experience with Google Cloud Platform.
• Advanced experience working with BigQuery for analytics and data processing.
• Experience building and maintaining dashboards or reporting solutions using Looker and/or Microsoft Power BI.
• Experience integrating and working with external APIs, including OpenAI APIs, Claude APIs, or similar AI platforms.
• Understanding of AI token usage tracking, API consumption monitoring, and related operational metrics.
• Strong experience with data collection, storage, and transformation processes.
• Strong analytical and problem‑solving skills, with attention to detail.
• Excellent communication and collaboration skills in cross‑functional environments.
• Ability to work independently and manage multiple priorities in dynamic environments.

Nice to Have

• Experience working with AI‑driven analytics or reporting solutions.
• Familiarity with cost optimization and monitoring for cloud‑based data platforms.
• Experience supporting client‑facing analytics or reporting initiatives.

Additional Information

• Mexican law benefits
• 15 days of PTO (in year zero, from the first year onwards it is 3 days per year).
• 5 days leave for the death of immediate family members, negotiable.
• Major Medical Expenses Insurance with coverage for immediate dependents (spouse and children).
• Annual performance bonus (about 10% of annualized salary).
• Annual salary adjustment.
• Employee Referral Bonus.
• Paid Certifications / Courses
• 5% Savings Fund.
• 5% Grocery Vouchers.