Senior Data Engineer Remote Production Pipelines

8020rei; Bogotá; Híbrido; COP 291.658.564 - 453.691.100; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive Base Compensation

Profit Share Bonus

Flex PTO (up to 26 days per year)

Home Office Upgrade Bonus

HMO Bonus

Full-time Remote Work

Growth and team-building opportunities

Budget for skill development

Descripción de la vacante

8020REI is seeking a Senior Data Engineer to own the design, reliability, and cost-efficiency of our AWS data platform. Build and optimize PySpark ETL/ELT pipelines, operate a medallion lakehouse, and manage data-serving APIs with a focus on production reliability and revenue impact.

You will partner with Data Science to turn models into production systems, enforce data quality standards, and own cloud cost and infrastructure as code in a fast-growing real estate tech environment.

Formación

• 4+ years of hands-on data engineering with production ownership.
• Advanced PySpark performance tuning on large-scale workloads.
• Strong Python with production-grade coding standards.
• Deep AWS experience across EMR, Glue, Lambda, S3, Athena.
• Advanced SQL for data warehousing and lakehouse querying.
• Experience with open table formats (Hudi preferred).
• Data quality gates, monitoring, and QA processes.
• Infrastructure as Code in CI/CD workflows.
• English and Spanish proficiency.
• Bachelor’s degree in CS/SE or related field.

Responsabilidades

• Own end-to-end Big Data pipelines on EMR and Glue.
• Operate and evolve lakehouse on S3 with Hudi and manage partitions.
• Automate orchestration with Step Functions, EventBridge, and Lambda.
• Enforce data quality with QA audits, gating, and monitoring.
• Manage production databases (Aurora PostgreSQL, DynamoDB) and APIs.
• Own cloud cost optimization for the data platform.
• Ship infrastructure as code via Terraform/CloudFormation in CI/CD.
• Collaborate with Data Science to productionize models.
• Document runbooks and data dictionaries.

Conocimientos

Advanced PySpark

Strong Python

Deep AWS

Advanced SQL

Lakehouse experience

Data quality mindset

Infrastructure as Code

English and Spanish

4+ years of data engineering

Educación

Bachelor’s degree in Computer Science, Data Engineering, or related field

Herramientas

Terraform

CloudFormation

AWS EMR

Airflow/Step Functions

Aurora PostgreSQL

DynamoDB

Descripción del empleo

8020REI is seeking a Senior Data Engineer to own the design, reliability, and cost-efficiency of our AWS data platform. Build and optimize PySpark ETL/ELT pipelines, operate a medallion lakehouse, and manage data-serving APIs with a focus on production reliability and revenue impact.

You will partner with Data Science to turn models into production systems, enforce data quality standards, and own cloud cost and infrastructure as code in a fast-growing real estate tech environment.