Data Engineer (Databricks)

Location: 100% remote, from anywhere

Company

hirify.global delivers technology projects and software solutions for major companies and innovative startups through a global remote team.

What you will do

• Design and implement scalable, secure data pipelines with AWS Glue or Databricks.
• Develop and optimize distributed Apache Spark processes for large data volumes.
• Manage Delta Lake tables, including data integrity, versioning, and schema evolution.
• Write clean, modular Python code for ETL processes and automation.
• Collaborate with cross-functional teams to turn business needs into reliable data solutions.

Requirements

• 5+ years of experience in data engineering.
• 3+ years of hands-on experience with AWS Glue or Databricks.
• 3+ years of experience with Apache Spark and 2+ years with Delta Lake.
• 5+ years of Python experience focused on ETL and automation.
• Experience with monitoring, observability, data pipeline alerting, and cloud environments, preferably AWS.
• Advanced English proficiency.

Culture & Benefits

• 100% remote work from anywhere with flexible hours and the ability to create a personal schedule.
• Compensation in USD or the preferred local currency.
• Paid parental leave, vacations, and national holidays.
• Multicultural environment with collaboration across a global team.
• Mentorship, promotions, skill development, and diverse career growth opportunities.

Hiring process

• The application begins a selection process designed to align skills and interests with suitable vacancies.