🕒 7 days ago
Build and maintain scalable data pipelines, ETL/ELT processes, and orchestration systems that deliver reliable, usable data for business needs and support machine learning workflows.
Data Engineer
📅 Jul 29
📍 🇨🇴 Colombia +2 - Remote?💰 $5.5k - $6.8k / month🎹 Mid-level🛢️ Data Engineer📢 🇬🇧 English Required⏳ Temporary/Contract
Data EngineeringSQLPythonSnowflake
📜 Description
- Design, build, and maintain batch and streaming data pipelines.
- Develop and optimize data models in a cloud data warehouse.
- Build ELT/ETL workflows and manage orchestration.
- Partner with analytics, product, and engineering teams to deliver trusted datasets.
- Implement data quality checks, monitoring, and alerting across pipelines.
- Contribute to data architecture and uphold privacy practices for sensitive data.
🛠️ Requirements
- 4+ years of professional data engineering experience
- Expert-level SQL and strong Python skills
- Hands-on experience with a modern cloud data stack (e.g., Snowflake, BigQuery, or Redshift; dbt; Airflow or similar orchestration)
- Experience with cloud platforms (AWS, GCP, or Azure)
- A track record of building reliable, well-documented pipelines at scale
- Strong written and spoken English (daily collaboration with a U.S.-based team)
- Based in Latin America with reliable ability to work U.S.-overlapping hours
- Experience in healthcare, health tech, or other regulated data environments
- Familiarity with streaming technologies (Kafka, Kinesis, Pub/Sub)
- Experience with infrastructure-as-code and CI/CD for data workflows
✨ Benefits
- $5,500 – $6,800 USD/month, paid reliably in USD
- Fully remote, long-term contract engagement
- Support from Maxana throughout your engagement
Full job description
Maxana is hiring a Data Engineer on behalf of a fast-growing digital health platform in the U.S. You'll join their data team as a full-time contractor, building the pipelines and infrastructure that power analytics, product features, and clinical/operational decision-making. This is a fully remote role open to candidates based in Latin America, working U.S.-overlapping hours.
What you'll do:
- Design, build, and maintain scalable data pipelines (batch and streaming)
- Develop and optimize data models in a modern cloud data warehouse
- Build robust ELT/ETL workflows and manage orchestration (e.g., Airflow, Dagster, or similar)
- Partner with analytics, product, and engineering teams to deliver clean, trusted datasets
- Implement data quality checks, monitoring, and alerting across pipelines
- Handle sensitive data responsibly and help uphold privacy and compliance standards (e.g., HIPAA-aligned practices)
- Contribute to the evolution of the platform's overall 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 (e.g., Snowflake, BigQuery, or Redshift; dbt; Airflow or similar orchestration)
- Experience with cloud platforms (AWS, GCP, or Azure)
- A track record of building reliable, well-documented pipelines at scale
- Strong written and spoken English (daily collaboration with a U.S.-based team)
- Based in Latin America with reliable ability to work U.S.-overlapping hours
Nice to have:
- Experience in healthcare, health tech, or other regulated data environments
- Familiarity with streaming technologies (Kafka, Kinesis, Pub/Sub)
- Experience with infrastructure-as-code and CI/CD for data workflows
- Exposure to ML pipelines or feature engineering
Benefits
- $5,500 – $6,800 USD/month, paid reliably 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 your engagement
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