Data Engineer

ITJ; Tijuana; Presencial; MXN 480.000 - 980.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Dental insurance

Vision insurance

Life insurance

Gym bonus support

Education reimbursement

Vacation bonus

Paternity leave

Work at Home Bonus

Descripción de la vacante

ITJ in Tijuana, Mexico is seeking a Middle Data Engineer to design, build, and maintain scalable data pipelines and infrastructure using modern cloud technologies. You will collaborate with cross-functional teams to translate requirements into technical solutions that deliver valuable insights to drive business outcomes.

You will design, develop and maintain robust data pipelines, build data models for analytics, and implement data quality and access controls.

Formación

• 3-5 years of data engineering experience building data pipelines.
• Experience with cloud-based data platforms, preferably Databricks; Snowflake acceptable for mid/junior.
• Proficiency in SQL and Python.
• Experience designing dimensional models and ETL/ELT processes.
• Strong software engineering fundamentals: GitHub, CI/CD, testing.
• Excellent problem-solving and communication skills.

Responsabilidades

• Design, develop, and maintain robust data pipelines using code-based ETL/ELT processes.
• Build and optimize data models to support analytics and reporting needs across multiple business domains.
• Integrate data into new and existing processes to improve data access and utilization.
• Implement access controls, data quality checks and monitoring to ensure data security, integrity and reliability.
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
• Mentor junior team members and contribute to establishing best practices and standards.
• Lead small to medium-sized projects independently, from requirements gathering to implementation.
• Stay current with emerging technologies and recommend improvements to our data architecture.

Conocimientos

SQL

Python

Data pipelines

CI/CD

GitHub

ETL/ELT

Data modeling

Databricks

Cloud platforms

Herramientas

Power BI

Terraform

Descripción del empleo

• Employer-paid medical, dental, vision, and life insurance; medical insurance for employees, Gym bonus support
• Education reimbursement (Up to MXN 54,000 per year)
• 30% vacation bonus
• 10 days paternity leave
• Work at Home Bonus for office equipment 1-time MXN 5,000

We are seeking a talented Middle Data Engineer to join our growing team of data architects and engineers. In this role, you will design, build, and maintain scalable data pipelines and infrastructure using modern cloud technologies. You will collaborate with cross-functional teams to understand business requirements and translate them into technical solutions that deliver valuable insights to drive business outcomes.

Your Contributions:

• Design, develop, and maintain robust data pipelines using code-based ETL/ELT processes
• Build and optimize data models to support analytics and reporting needs across multiple business domains
• Integrate data into new and existing processes to improve data access and utilization
• Implement access controls, data quality checks and monitoring to ensure data security, integrity and reliability
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions
• Mentor junior team members and contribute to establishing best practices and standards
• Lead small to medium-sized projects independently, from requirements gathering to implementation
• Stay current with emerging technologies and recommend improvements to our data architecture

Main Requirements:

• 3-5 years of experience in data engineering roles with a focus on building and maintaining data pipelines.
• Experience with cloud-based data platforms, preferably Databricks. Alternative Option: (Snowflake experience is acceptable if Databricks experience is unavailable/ but only for Mid and Juniors.)
• Proficiency in SQL and at least one programming language (Python)
• Experience designing dimensional data models and implementing ETL/ELT processes.
• Strong foundation in software engineering principles including version control (GitHub), CI/CD, and testing.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders.

Preferred requirements:

• Experience with Infrastructure as Code (Terraform).
• Knowledge of data visualization tools (Power BI, etc.)