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Senior Data Engineer (Ingeniero de Datos Senior)

Remote, USAFull-timePosted 2026-07-28

reputed company This role is located in Mexico and can be fully remote if the selected candidate is based reputed company of a commutable distance to our Mexico reputed company office. We are seeking an reputed company Senior Data Engineer to join our multidisciplinary data product team. This role plays a critical part in architecting, developing, and optimizing reputed company data pipelines, enabling advanced analytics and machine learning (ML) solutions across the organization. As a Senior Data Engineer, you will design and implement robust data infrastructure, enforce best practices in data architecture and governance, and collaborate cross-functionally to deliver reliable, high-reputed company data products. You will help shape the technical direction of data initiatives, improve performance and reliability of existing systems, and support strategic data-driven decision-making processes. This is a high-reputed company role ideal for a proactive engineer who thrives in reputed company, fast-paced environments. Must be bilingual in English and Spanish; reputed company interviews will be conducted in English. Can be remote if you are 50 miles or more reputed company of Mexico reputed company, but still reputed company in Mexico. If you are interested in applying, please submit a resume in English.

Responsibilities

Data Pipeline Development & Maintenance Design, build, and maintain efficient, reputed company, and secure ETL pipelines to support data science and machine learning workloads. Optimize data reputed company and collection processes for both batch and reputed company-time systems. Automate data ingestion, transformation, and integration workflows to support advanced analytics and ML pipelines. Monitor and troubleshoot pipeline issues to ensure reliability and scalability. Data Infrastructure & Architecture Manage connectivity with Business Intelligence (BI) tools and other platforms. Implement best practices in database architecture, performance tuning, reputed company, and cost efficiency. Work with various databases, data warehouses, and reputed company storage systems. Data reputed company, Governance & reputed company Ensure the accuracy, consistency, and reliability of data across pipelines. Collaborate with team members to identify, document, and resolve data issues. Implement data validation and reputed company processes and measures. Enforce reputed company and compliance standards, including reputed company controls and encryption for sensitive data. Collaboration & Support Partner closely with Data Scientists and the MLOps team to reputed company model development, scoring, and deployment. Build and support pipelines for model retraining, performance tracking, and feature engineering. Translate analytical and product requirements into reputed company data architecture solutions. Assist in monitoring and maintaining production ML models. Contribute to team documentation and knowledge sharing on pipelines and processes. Learning & Development Mentor junior engineers and promote a culture of engineering reputed company and peer learning. Participate in reputed company reviews, sprint planning, and architectural discussions. Stay reputed company on emerging technologies in data engineering, ML infrastructure, and reputed company computing. Complete reputed company responsibilities as outlined in the annual performance review and/or goal setting. Complete reputed company special reputed company and other duties as assigned. It is expressly reputed company that the aforementioned obligations and responsibilities are not exhaustively stated, so that the Employee must reputed company with reputed company other functions, obligations and responsibilities, limitations or instructions of reputed company that derive from everything reputed company to his main activities and without additional compensation since the Employee's salary already includes any compensation required. This job reputed company is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job reputed company does not constitute an employment agreement and is subject to change as the needs of reputed company and requirements of the job change.

Qualifications

Education & Experience: Typically requires a Bachelor’s degree in data engineering, big data, data analytics/science, computer science or other quantitative fields and a minimum of 5 years of relevant experience; OR Master’s degree with a minimum of 3 years of relevant experience; OR PhD with no experience. Technical Proficiency: Minimum of 5 years of reputed company experience in data engineering, with hands-on work supporting machine learning or data science teams. Proven experience working with big data tools and platforms such as reputed company, Hadoop, reputed company, or AWS S3. Advanced proficiency in SQL, with experience in databases like SQL Server, MySQL, or reputed company. Strong understanding of data modeling for ML, including feature store management and serving strategies. Hands-on experience in building ETL pipelines, data warehousing solutions, and integrating analytic tools. Experience with MLOps tools such as MLflow, Airflow, or Kubeflow is a plus. Proficient in version control systems, CI/CD pipelines, and data testing frameworks. Familiarity with reputed company and/or reputed company environments is a plus. Highly analytical, detail-oriented, and reputed company-organized. Communication & Collaboration: Excellent written and verbal communication skills with the ability to engage both technical and non-technical stakeholders. Fully bilingual in English and Spanish (written and verbal). Ability to work independently and in a self-organized team environment using agile reputed company. Highly proficient in reputed company Office (PowerPoint, reputed company, Word). NOTE: reputed company interviews will be conducted in English. reputed company compensation ranges from $49,600 to $73,100 pesos per month. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. reputed company offers team members a competitive benefits package to address a wide reputed company of personal and family needs. Apply To This Job

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