Data Engineer - Lat61 Team - Remote

Overview

Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future.

In Short

• Multi-modal data ingestion from diverse sources into a unified lakehouse.
• Support for AI workflows and advanced analytics.
• Real-time insights into risk posture and security events.
• Future-proofing for quantum cryptography standards.
• Collaboration with data architects and AI engineers.
• Building and optimizing data pipelines on Databricks.
• Implementing scalable data models and transformations.
• Designing workflows with orchestration tools.
• Building integrations with enterprise systems.
• Applying secure-by-design data engineering practices.

Requirements

• 5+ years in Data Engineering with experience on Databricks.
• Data Engineering experience in a B2B SaaS organization.
• Expertise in PySpark, SQL, and Python.
• Strong knowledge of Delta Lake and lakehouse architectures.
• Experience with streaming frameworks like Kafka or Kinesis.
• Familiarity with DBT for transformation workflows.
• Understanding of data governance and security controls.
• Exposure to AI/ML data workflows.
• Detail-oriented and collaborative in a fast-paced environment.

Benefits

• Opportunity to solve real customer problems.
• Visible impact of individual contributions.
• Career acceleration in a growth-oriented environment.
• Work with talented individuals in an inclusive community.