Senior Data Engineer (Python)

Location: Remote in Colombia, Mexico, Costa Rica, Brazil, or Peru

Company

hirify.global develops data solutions that support reliable data movement and transformation across enterprise platforms.

What you will do

• Design, build, and maintain scalable Python data pipelines and ETL processes.
• Extract, transform, integrate, and synchronize data from multiple source systems into downstream platforms.
• Connect to Snowflake and Azure Synapse Analytics using APIs, database connectors, and other integration methods.
• Monitor, troubleshoot, and optimize pipeline performance, resolving bottlenecks, failures, and data quality issues.
• Implement data cleansing, filtering, aggregation, normalization, standardization, schema mapping, and conversion logic.
• Document pipeline architecture and collaborate with analysts, data scientists, IT teams, and business stakeholders.

Requirements

• Experience building and maintaining data pipelines and ETL processes.
• Hands-on experience with Snowflake and Azure Synapse Analytics.
• Strong Python programming skills and experience with Pandas, NumPy, and/or PySpark.
• Strong understanding of database systems and SQL querying.
• Experience integrating and synchronizing data across multiple systems, including work with large-scale datasets.
• Knowledge of data governance, compliance, data validation, and data quality practices.

Nice to have

• Expertise in designing scalable data transformation frameworks.
• Experience implementing secure and compliant enterprise data transfer solutions.
• Passion for continuous improvement and modern data engineering practices.

Culture & Benefits

• Full-time remote work within the specified countries.
• Cross-functional collaboration across engineering, analytics, technology, and business teams.
• Work focused on scalable, secure, reliable, and high-quality data solutions.