Data Engineer Python Mid-Level en PICAIO

Job Title: Mid-Level Data Engineer

Location: On-site | Santa Fe, CDMX

Work Schedule: Monday to Friday, 10:00 AM – 7:00 PM

Language Requirement: Advanced English (B2 or higher) – All documentation is in English

Additional Benefits: Competitive compensation and benefits package

About the Role

We are looking for a Mid-Level Data Engineer to join our on-site team in Santa Fe, CDMX . This role is ideal for professionals passionate about building and optimizing data pipelines and architectures that support scalable, secure, and efficient data workflows. You’ll work closely with data scientists, analysts, and cross-functional teams to meet evolving business needs through data-driven solutions.

In this role, you'll balance hands-on engineering with project leadership and team mentorship, contributing to the success of our data initiatives while promoting collaboration and continuous improvement.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines and architectures.
• Collaborate with data scientists and analysts to understand data requirements and translate them into technical solutions.
• Ensure data accuracy and consistency through comprehensive testing and validation processes.
• Implement and enforce data security best practices and compliance with data governance policies.
• Continuously optimize data workflows to improve performance and efficiency.
• Lead projects by defining scope, setting milestones, and coordinating deliverables.
• Mentor and support junior data engineers, conducting code reviews and providing technical guidance.
• Communicate effectively with cross-functional teams to support strategic decision-making.

Technical Skills

• Languages: Python, C#
• Databases & Storage: SQL, PostgreSQL, MongoDB, Redis
• Search Engines: Elasticsearch
• Big Data Tools: Hadoop, Apache Spark (preferred)

What We’re Looking For

• 2–4 years of experience as a Data Engineer or similar role.
• Proven experience designing and managing data pipelines and architectures.
• Strong understanding of data quality, validation, and governance practices.
• Proficiency with programming languages such as Python or Java/C# .
• Familiarity with cloud environments and distributed data systems is a plus.
• Comfortable working in a collaborative, fast-paced environment.
• Strong communication and interpersonal skills.
• Advanced English level (B2 or above) — all documentation and collaboration are in English.