Senior Data Engineer

Nimble Gravity; Región Centro; Presencial; MXN 600.000 - 800.000; Jornada completa

Descripción de la vacante

Nimble Gravity, located in Mexico, is seeking an experienced Data Engineer to build and scale robust data solutions.
This position focuses on developing high-performance data pipelines and ensuring data quality. Candidates must have 5+ years in data engineering and proficiency in Python, SQL, and Databricks/PySpark.

The successful applicant will collaborate with stakeholders and own projects from concept to production, applying modern software engineering practices.

Formación

• A bachelor's degree or higher in a STEM field is required.
• 5+ years of experience in data engineering or a related discipline.
• Expertise in Python and SQL with a strong foundation in data manipulation.

Responsabilidades

• Build, scale, and maintain robust data solutions.
• Implement and optimize high-performance data pipelines.
• Collaborate closely with business stakeholders to transform use cases.

Conocimientos

Python

SQL

Databricks/PySpark

Data warehousing

ETL

Workflow orchestration (Airflow)

Machine learning principles

Educación

Bachelor's degree in STEM

Herramientas

dbt

Data cleaning tools

Descripción del empleo

We are looking for a Data Engineer to build and scale robust data solutions that support critical business needs. This role focuses on developing high-performance pipelines, enabling reliable data transformation, and delivering production-ready systems. The ideal candidate brings strong experience in Python, SQL, Databricks/PySpark, and modern data engineering practices.

Primary Responsibilities

• Build, scale, and maintain robust data solutions.
• Implement and optimize high-performance data pipelines: extraction, loading, transformation, and orchestration – that are designed for scalability, reliability, maintainability, and speed.
• Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments.
• Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production.
• Implement rigorous testing and monitoring practices to maintain superior data quality and integrity.

Requirements

Education & Certificates

• A bachelor's degree or higher in a STEM field, required.
• Concentration in Computer Science, Math, Physics or other engineering related field, preferred.

Professional Experience

• 5+ years of experience in data engineering or a related discipline, with a proven track record of success.

Competencies & Attributes

• Expertise in Python and SQL, with a strong foundation in data manipulation and analysis.
• Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks.
• Experience with workflow orchestration tools e.g. Airflow, Dagster.
• Experience working with large language models (LLMs) especially prompt engineering, retrieval-augmented generation (RAG)s, and/or vector databases are pluses.
• Knowledge of fundamental principles of machine learning, feature engineering, and knowledge graphs are pluses.
• Demonstrated experience in designing and implementing complex data systems from the ground up.
• Proficient in handling large-scale data projects, including data cleaning, ETL, and information retrieval.
• Excellent communication skills required, both verbal and written.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.