Data Engineer (Python / AWS / Data Pipelines) (1372)

Job Description Este es un puesto de teletrabajo.We are looking for a skilled Data Engineer to design, build, and maintain scalable data systems supporting analytics and machine learning initiatives.

This role works in hybrid environments—both SaaS-hosted and client-managed (on-premises)—and focuses on enhancing the Elastic Hierarchy framework, unifying diverse financial datasets across multiple systems.

Key Responsibilities: ● Design and maintain scalable ETL/ELT pipelines in Python, integrating structured and semi-structured data (JSON, CSV, XML) across Snowflake, MongoDB, Postgres, and AWS services (S3, Glue, Lambda, EC2, EMR, Redshift, RDS).

● Build and optimize transformation and orchestration workflows using DBT, Airflow, Prefect, or Dagster.

● Implement data governance, quality checks, and security best practices throughout data pipelines.

● Extend and optimize the Elastic Hierarchy framework to harmonize financial data from various systems.

● Collaborate with analysts, ML engineers, and product teams to deliver business-ready datasets and data solutions.

Requisitos● Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

● Strong Python programming skills with experience in data processing and automation.

● Proven experience with the AWS data ecosystem, including S3, Glue, Lambda, EMR, EC2, Redshift, and RDS.

● Hands-on experience with Snowflake, MongoDB, and Postgres databases.

● Proficiency with DBT or similar data transformation tools, and with orchestration frameworks such as Airflow, Prefect, or Dagster.

● Knowledge of data mapping, attribution, or reconciliation (experience in financial services is a strong plus).

● Understanding of hybrid/on-premise deployment models within enterprise environments.

● Excellent English communication skills and ability to collaborate effectively within distributed teams.

Requirements Must-Have Skills: Strong proficiency in TypeScript and Node.js.

Experience with PostgreSQL and GraphQL.

Solid understanding of frontend and backend development (50/50 balance expected).

Excellent communication and teamwork skills.

Ability to work independently in a remote setup.

Nice-to-Have Skills: Experience with React Native (without Expo) or Svelte.

Familiarity with performance optimization and user experience best practices.

Previous experience working in startups or agile environments.
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