Mid-Level Data Engineer

Nexaminds is actively seeking a Mid-Level Data Engineer to join our dynamic engineering team. In this role, you will contribute to building and enhancing our data engineering framework, helping develop a clear and concise data model that supports data science, ETLs, internal tools, and self-service data solutions.

You will have the opportunity to contribute to a team focused on making data more accessible and actionable, while designing and building scalable data engineering solutions to solve business and data problems.

Location: Mexico (Remote)

This position is open exclusively to candidates who are currently residing in Mexico. Before applying, we encourage you to review our open positions and make sure the location requirements match your current location. Candidates who are not currently based in Mexico will not be contacted for this opportunity.

Requirements:

• Bachelor’s degree in Engineering, Computer Science, or a related field.
• 3+ years of professional experience in Data Engineering or a closely related field, with strong experience in data modeling and data job development.
• Familiarity with technologies such as Spark, dbt, Fivetran, and Airflow to access an S3 data warehouse.
• Experience with AI coding agents, such as Claude Code, Codex, or similar tools, and an interest in using them to understand and build software.
• Experience partnering cross-functionally and gathering input from stakeholders.
• Strong communication skills and the ability to simplify and move complex problems forward.
• Production-level coding experience in Python and SQL.
• Innovative mindset and willingness to take on new challenges and learn from potential failure.

Responsibilities:

• Contribute to the development and enhancement of the data engineering framework.
• Help build infrastructure that centralizes ETL logic and metric definitions.
• Design and build scalable data engineering solutions to solve business and data problems.
• Contribute to the development of a clear and concise data model supporting data science, ETLs, and internal tools.
• Help develop self-service data and tools that facilitate scalable decision-making.
• Collaborate with team members and cross-functional stakeholders to gather input and identify opportunities for improvement.
• Contribute ideas and technical solutions that support impactful, data-driven directions.
• Use AI coding agents to understand existing systems and build software.
• Contribute to a culture of technical collaboration and scalable development.
• Work on projects with visibility across the organization and help reduce friction in how teams use data.