Senior Data Engineer (ETL+Spark)

TL;DR

Senior Data Engineer (ETL+Spark): Optimizing and systematizing data flows across a US-based insurance corporation, ensuring compliance with security, governance, and privacy protocols with an accent on ETL pipelines and data lake management. Focus on designing reliable software and improving data quality standards within the development community.

Location: Must be able to work from the Buenos Aires office at least 3 times per week.

Company

hirify.global is a custom software development company delivering value to clients since 1991 with 2000+ professionals across Eastern Europe and North America.

What you will do

• Design, develop, and maintain reliable software in line with technical requirements, focusing on performance and availability.
• Analyze requirements, review designs, and estimate user stories following project methodology.
• Propose code refactoring and optimization improvements according to software development practices and coding standards.
• Help maintain and improve high-quality standards within the developer community by sharing knowledge and conducting tech talks.
• Stay up-to-date with modern technology and obtain professional certifications.
• Support less experienced developers by providing training and monitoring tasks.

Requirements

• 4+ years of experience as a Data Engineer.
• Strong proficiency with Databricks, Spark, and ETL pipelines.
• Experience with Delta Lake.
• Familiarity with the Hadoop ecosystem.
• Experience or understanding of on‑prem HDFS.
• Upper-Intermediate level of English.

Culture & Benefits

• Close cooperation with a customer.
• Challenging tasks.
• Competence development.
• Ability to influence project technologies.
• Team of professionals.
• Dynamic environment with low level of bureaucracy.