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Data Engineer

1 month, 2 weeks ago
Mexico, Brazil, Colombia
Contract
Mid Level
Data Engineer
Software Development
Apache Airflow AWS Azure CI/CD Dagster dbt Feature Engineering GCP HIPAA Kafka Machine Learning Python Snowflake SQL
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Diversified Financial Services
View All Jobs 7

Description

  • Design, build, and maintain scalable batch and streaming data pipelines.
  • Develop and optimize data models in a modern cloud data warehouse.
  • Build and maintain ELT/ETL workflows and orchestration processes.
  • Partner with analytics, product, and engineering teams to deliver trusted datasets.
  • Implement data quality checks, monitoring, and alerting across pipelines.
  • Handle sensitive data responsibly and support privacy and compliance standards.
  • Contribute to the evolution of the platform’s data architecture.

Requirements

  • 4+ years of professional data engineering experience.
  • Expert-level SQL and strong Python skills.
  • Hands-on experience with a modern cloud data stack such as Snowflake, BigQuery, or Redshift; dbt; and Airflow or similar orchestration tools.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Track record of building reliable, well-documented pipelines at scale.
  • Strong written and spoken English for daily collaboration with a U.S.-based team.
  • Based in Latin America and able to work U.S.-overlapping hours reliably.
  • Experience in healthcare, health tech, or other regulated data environments (nice to have).
  • Familiarity with streaming technologies such as Kafka, Kinesis, or Pub/Sub (nice to have).
  • Experience with infrastructure-as-code and CI/CD for data workflows (nice to have).
  • Exposure to ML pipelines or feature engineering (nice to have).

Benefits

  • $5,500–$6,800 USD per month, paid in USD.
  • Fully remote, long-term contract engagement.
  • Direct integration with a U.S. data team at a high-growth company.
  • Support from Maxana throughout the engagement.

Interested in this position?

Apply directly on the company website

Apply Now

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