Senior Data Engineer, Capital Markets — Remote

Oportun; México; A distancia; MXN 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Oportun in Mexico is seeking a Senior Data Engineer to design, develop, and maintain data platforms supporting Capital Markets initiatives. You will lead data architectures, build scalable pipelines, and collaborate with data scientists and analysts to translate business needs into technical solutions.

You will mentor junior engineers, conduct code reviews, and steer cross-functional projects end-to-end, ensuring performance, reliability, and data governance across ecosystems such as SQL, NoSQL,

Formación

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 5+ years of data engineering experience focusing on data architecture, ETL, and databases.
• Proficiency in Python/PySpark and Java/Scala; strong SQL skills.

Responsabilidades

• Lead design of scalable data architectures and data models.
• Design and optimize ETL pipelines for large data volumes.
• Manage databases, data warehouses, and data lakes for performance and security.
• Establish data quality standards and governance practices.
• Provide technical leadership, code reviews, and mentoring.

Conocimientos

Data architecture

ETL design

Python

PySpark

Java/Scala

SQL

Big data

Hadoop

Spark

Kafka

Airflow

Databricks

Cloud (AWS/Azure/GCP)

Leadership

Mentorship

Educación

Bachelor's degree in Computer Science, Data Science, or related field

Master's degree in a related field

Herramientas

Hadoop

Spark

Kafka

Jenkins

Airflow

Databricks

PostgreSQL

MariaDB

NoSQL databases

Descripción del empleo

Oportun in Mexico is seeking a Senior Data Engineer to design, develop, and maintain data platforms supporting Capital Markets initiatives. You will lead data architectures, build scalable pipelines, and collaborate with data scientists and analysts to translate business needs into technical solutions.

You will mentor junior engineers, conduct code reviews, and steer cross-functional projects end-to-end, ensuring performance, reliability, and data governance across ecosystems such as SQL, NoSQL,