Data Engineer

Summary

Join Invisible Technologies, a leading AI training and scaling partner, as a Data Engineer. You will support the daily operations of Invisible deployments, applying your problem-solving skills and technical expertise to customer implementations. This role offers the opportunity to work on challenging problems for major organizations and contribute to their solutions. You will build, optimize, and maintain ETL pipelines, develop databases, and collaborate with other engineers. The position requires 3+ years of software development experience, proficiency in Python and PySpark, and knowledge of AWS. Invisible offers competitive compensation, bonuses, and equity.

Requirements

• 3+ years of hands-on experience in software development and/or Big Data
• Excellent knowledge of Python
• Proficiency in PySpark and strong understanding of Spark
• Experience in building and maintaining Data Lakes or Data Warehouses (preferably Snowflake or Databricks)
• Strong understanding of ETL frameworks (e.g., dbt)
• Good knowledge of AWS (IAM, S3, and Security Groups)
• Familiarity with Infra-as-Code (Terraform or similar)
• Great communication skills: able to articulate status updates, blockers, and design considerations
• Ability and interest to travel up to 30% of the time for meetings with clients

Responsibilities

• Build, optimize, and maintain ETL pipelines
• Modify existing application code or interfaces, or develop new components
• Analyze requirements, participate in design, and handle coding, testing, debugging, deployment, and maintenance
• Develop and implement databases, data collection systems, and data analysis strategies for better efficiency and quality
• Conduct code and design reviews to maintain a high-quality product
• Mentor and guide Junior colleagues and new team members
• Collaborate with other Data Engineers and Forward deploy engineers and Platform engineers to prioritize business needs
• Share technical insights with the wider engineering teams

Benefits

• Compensation: Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity. Tier 1: $109,000 - $121,000
• Bonuses and equity are included in offers above entry level
• Remote-first organization