Senior Data Engineer (Python)

Location: Remote in Brazil, Argentina, Colombia, Uruguay, Peru, or Mexico.

Company

hirify.global is a global digital engineering, product development, and technology consulting company headquartered in New York, with more than 1,000 experts across 65+ countries.

What you will do

• Create ETL pipelines in code and connect them to internal tooling.
• Monitor CI/CD processes and use data to debug pipelines.
• Coordinate patient-level data extraction with clinical data analysts and validate data quality.
• Handle ad-hoc requests from CSS stakeholders regarding patient-level data.
• Package and deliver ETL outputs to AWS S3 for client access.
• Improve code and process efficiency while collaborating with engineers through Git, merge requests, or similar version control tools.

Requirements

• Bachelor's degree or equivalent experience in Computer Science or a related field.
• Development experience with programming languages.
• Experience with SQL or other relational databases; Postgres is preferred.
• 4+ years of experience with Python, CI/CD, Redshift, and AWS, including Lambda, S3, and Glue.
• Experience with at least one ETL tool.
• Experience using data to debug ETL pipelines.
• Experience communicating effectively with non-technical stakeholders.
• Advanced English level; all interviews are conducted in English.

Culture & Benefits

• Full-time remote work from the listed countries.
• Opportunity to contribute to global projects and work with an international community.
• Opportunity to grow technical skills and shape the way of working.