Point Wild (Formerly Pango Group)
Data Engineer: Lat61 Team
Point Wild (Formerly Pango Group), Boston, Massachusetts, us, 02298
Overview
Join to apply for the
Data Engineer: Lat61 Team
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Point Wild (Formerly Pango Group) . 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. Lat61 is our multi-modal data platform designed to ingest, normalize, and enrich data from diverse sources, making it actionable for AI agents, analytics, and decision-making systems. Responsibilities Multi-Modal Data Ingestion: Bringing together logs, telemetry, threat intel, identity data, cryptographic assets, and third-party feeds into a unified lakehouse. AI Agent Enablement: Supporting Retrieval-Augmented Generation (RAG) workflows, embeddings, and feature stores to fuel advanced AI use cases across Point Wild products. Analytics & Decision Systems: Providing real-time insights into risk posture, compliance, and security events through scalable pipelines and APIs. Future-Proofing for Quantum: Laying the groundwork for automated remediation and transition to post-quantum cryptographic standards.
Your work won't just be about pipelines and data models it will directly shape how enterprises anticipate, prevent, and respond to cybersecurity risks in an era of quantum disruption. Position Overview
We are seeking a highly skilled Data Engineer with deep experience in Databricks and modern lakehouse architectures to join the Lat61 platform team. This role is critical in designing, building, and optimizing the pipelines, data structures, and integrations that power Lat61. You will collaborate closely with data architects, AI engineers, and product leaders to deliver a scalable, resilient, and secure foundation for advanced analytics, machine learning, and cryptographic risk management use cases. Day to Day Build and optimize data ingestion pipelines on Databricks (batch and streaming) to process structured, semi-structured, and unstructured data. Implement scalable data models and transformations leveraging Delta Lake and open data formats (Parquet, Delta). Design and manage workflows with Databricks Workflows, Airflow, or equivalent orchestration tools. Implement automated testing, lineage, and monitoring frameworks using tools like Great Expectations and Unity Catalog. Build integrations with enterprise and third-party systems via cloud APIs, Kafka/Kinesis, and connectors into Databricks. Partner with AI/ML teams to provision feature stores, integrate vector databases (Pinecone, Milvus, Weaviate), and support RAG-style architectures. Optimize Spark and SQL workloads for speed and cost efficiency across multi-cloud environments (AWS, Azure, GCP). Apply secure-by-design data engineering practices aligned with Point Wild's cybersecurity standards and evolving post-quantum cryptographic frameworks.
What you bring to the table
5+ years in Data Engineering with strong experience building production data systems on Databricks Data Engineering experience in a B2B SaaS organization Expertise in PySpark, SQL, and Python Strong knowledge of Delta Lake, Parquet, and lakehouse architectures Experience with streaming frameworks (Structured Streaming, Kafka, Kinesis, or Pub/Sub) Familiarity with DBT for transformation and analytics workflows Strong understanding of data governance and security controls (Unity Catalog, IAM) Exposure to AI/ML data workflows (feature stores, embeddings, vector databases) Detail-oriented, collaborative, and comfortable working in a fast-paced innovation-driven environment
Bonus Points
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
As part of Point Wild
We are committed to solving real customer problems and creating impact. You will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment. Point Wild values inclusion and prohibits discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. We are an inclusive community where all feel welcome. Important privacy information for United States based job applicants can be found here. #J-18808-Ljbffr
Join to apply for the
Data Engineer: Lat61 Team
role at
Point Wild (Formerly Pango Group) . 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. Lat61 is our multi-modal data platform designed to ingest, normalize, and enrich data from diverse sources, making it actionable for AI agents, analytics, and decision-making systems. Responsibilities Multi-Modal Data Ingestion: Bringing together logs, telemetry, threat intel, identity data, cryptographic assets, and third-party feeds into a unified lakehouse. AI Agent Enablement: Supporting Retrieval-Augmented Generation (RAG) workflows, embeddings, and feature stores to fuel advanced AI use cases across Point Wild products. Analytics & Decision Systems: Providing real-time insights into risk posture, compliance, and security events through scalable pipelines and APIs. Future-Proofing for Quantum: Laying the groundwork for automated remediation and transition to post-quantum cryptographic standards.
Your work won't just be about pipelines and data models it will directly shape how enterprises anticipate, prevent, and respond to cybersecurity risks in an era of quantum disruption. Position Overview
We are seeking a highly skilled Data Engineer with deep experience in Databricks and modern lakehouse architectures to join the Lat61 platform team. This role is critical in designing, building, and optimizing the pipelines, data structures, and integrations that power Lat61. You will collaborate closely with data architects, AI engineers, and product leaders to deliver a scalable, resilient, and secure foundation for advanced analytics, machine learning, and cryptographic risk management use cases. Day to Day Build and optimize data ingestion pipelines on Databricks (batch and streaming) to process structured, semi-structured, and unstructured data. Implement scalable data models and transformations leveraging Delta Lake and open data formats (Parquet, Delta). Design and manage workflows with Databricks Workflows, Airflow, or equivalent orchestration tools. Implement automated testing, lineage, and monitoring frameworks using tools like Great Expectations and Unity Catalog. Build integrations with enterprise and third-party systems via cloud APIs, Kafka/Kinesis, and connectors into Databricks. Partner with AI/ML teams to provision feature stores, integrate vector databases (Pinecone, Milvus, Weaviate), and support RAG-style architectures. Optimize Spark and SQL workloads for speed and cost efficiency across multi-cloud environments (AWS, Azure, GCP). Apply secure-by-design data engineering practices aligned with Point Wild's cybersecurity standards and evolving post-quantum cryptographic frameworks.
What you bring to the table
5+ years in Data Engineering with strong experience building production data systems on Databricks Data Engineering experience in a B2B SaaS organization Expertise in PySpark, SQL, and Python Strong knowledge of Delta Lake, Parquet, and lakehouse architectures Experience with streaming frameworks (Structured Streaming, Kafka, Kinesis, or Pub/Sub) Familiarity with DBT for transformation and analytics workflows Strong understanding of data governance and security controls (Unity Catalog, IAM) Exposure to AI/ML data workflows (feature stores, embeddings, vector databases) Detail-oriented, collaborative, and comfortable working in a fast-paced innovation-driven environment
Bonus Points
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
As part of Point Wild
We are committed to solving real customer problems and creating impact. You will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment. Point Wild values inclusion and prohibits discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. We are an inclusive community where all feel welcome. Important privacy information for United States based job applicants can be found here. #J-18808-Ljbffr