Senior Data Engineer at KMS Technology

Guadalajara, jalisco, Mexico -

Full Time

Start Date

Immediate

Expiry Date

24 Aug, 26

Salary

0.0

Posted On

26 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google Cloud Platform, BigQuery, ETL/ELT, OpenAI API, Claude API, Looker, Microsoft Power BI, Data Pipeline Design, AI Token Usage Tracking, Data Transformation, API Integration, Business Intelligence, Operational Analytics, Data Quality Assurance, Technical Documentation, Problem Solving

Industry

Software Development

Description

Company Description 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 Perks you enjoy at KMS Mexico 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 (≈10% of annualized salary). Annual salary adjustment. Employee Referral Bonus. Paid Certifications / Courses Coursera License. 5% Savings Fund. 5% Grocery Vouchers.

Responsibilities

Design and maintain scalable data pipelines and ETL workflows within Google Cloud Platform using BigQuery. Integrate data from AI platforms like OpenAI and Claude to track token usage and support business intelligence reporting.