AI Data Engineer

Digital accelerator with 20 years of experience helping companies embrace the future, operating in 11 countries with over 4,000 professionals.
Monterrey, Nuevo Leon, Mexico
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For AI Data Engineer

NEORIS is a digital accelerator with a rich 20-year history of partnering with some of the world's largest companies in their digital transformation journey. With over 4,000 professionals across 11 countries, we maintain a startup-like multicultural environment that fosters innovation and continuous learning.

We're seeking an AI Data Engineer to join our dynamic team. This role combines technical expertise in data engineering with AI applications, requiring a professional with 3-4 years of experience in Python and database technologies. The ideal candidate will work on preparing and transforming data for Data Science projects, implementing ETL processes, and working with various data sources.

The position demands strong technical skills in both SQL and NoSQL databases, experience with modern data engineering tools like Apache Kafka and Spark, and proficiency with Python libraries such as Pandas, NumPy, and Scikit-Learn. Knowledge of AI and machine learning concepts is essential, as is experience with cloud platforms.

We offer a compelling combination of benefits, including a professional development plan, wellness program, and the opportunity to work in a multicultural environment. The position offers a hybrid work arrangement in Monterrey, with remote options available for other locations in Mexico.

This role is perfect for a data professional who wants to work at the intersection of data engineering and AI, in a company that values innovation and continuous learning. Join us in helping companies navigate their digital future while growing your career in a supportive, multicultural environment.

Last updated 8 days ago

Responsibilities For AI Data Engineer

  • Prepare data for Data Science projects, including source review, cleaning, integration, and data transformation (ETL processes)
  • Extract data from various sources (Files, APIs, Excel, SQL, Snowflake)

Requirements For AI Data Engineer

Python
PostgreSQL
MongoDB
Cassandra
Kafka
  • Strategic vision for defining standards
  • Solid experience working with Python (3-4 years)
  • SQL and NoSQL: +3 years experience with relational databases (PostgreSQL, MS SQL) and NoSQL (MongoDB, Cassandra)
  • Experience with data engineering tools: pipeline management and workflow orchestration (Apache Kafka, Apache Spark, Airflow)
  • Experience with libraries like Pandas, NumPy, SciPy, Scikit-Learn, FastAPI, Streamlit
  • Experience with Databricks and Spark
  • Basic knowledge in building and maintaining data pipelines
  • Basic knowledge in database design
  • Experience with git (GitHub or Bitbucket)
  • General knowledge in AI, generative AI (GenAI), and machine learning (ML)
  • Cloud services experience with Azure/AWS/GCP (desired)
  • Intermediate to advanced English (conversational)

Benefits For AI Data Engineer

  • 100% Nominal scheme
  • Legal benefits
  • Benefits package
  • Wellness program
  • Professional development plan
  • Multicultural collaboration

Interested in this job?

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