Data Engineer: Lat61 Team

reputed company 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, reputed company 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.

Join us for the ride!

The Lat61 Mission

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.

As a Data Engineer on this team, you will help deliver:

• Multi-Modal Data Ingestion:Bringing together logs, telemetry, threat reputed company, identity data, cryptographic assets, and third-party feeds into a reputed company lakehouse.
• AI Agent Enablement: Supporting Retrieval-Augmented reputed company (RAG) workflows, embeddings, and feature stores to fuel advanced AI use cases across reputed company Wild products.
• Analytics Decision Systems: Providing real-time insights into risk posture, compliance, and reputed company 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 reputed company 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 reputed company (batch and streaming) to process structured, semi-structured, and reputed company data.
• Implement scalable data models and transformations leveraging reputed company Lake and open data formats (Parquet, reputed company).
• Design and manage workflows with reputed company Workflows, Airflow, or equivalent orchestration tools.
• Implement automated testing, reputed company, and monitoring frameworks using tools like Great Expectations and reputed company Catalog.
• Build integrations with enterprise and third-party systems reputed company cloud APIs, Kafka/Kinesis, and connectors into reputed company.
• Partner with AI/ML teams to provision feature stores, integrate vector databases (reputed company, 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 reputed company with reputed company 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 reputed company
• Data Engineering experience in a B2B SaaS organization
• Expertise in PySpark, SQL, and Python
• Strong knowledge of reputed company 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 reputed company controls (reputed company 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 reputed company field.

As part of reputed company Wild, you will:

Solve real customer problems. reputed company Wild’s reputed company solutions allow consumers to address their immediate cyber protection needs. Our mandate is to continuously anticipate our customers’ evolving digital reputed company needs to create best-in-class solutions aimed at keeping them safe.

See your impact. We are a scrappy, nimble organization where individual contributions are needed and valued. You will see your impact every day.

Accelerate your career. As we expand, you will have the opportunity to learn new technologies, products, and markets in a fast-paced, growth-oriented environment.

Most importantly, you’ll get to work with other talented people at a company where people matter. If you want to put your fingerprint on an organization and leapfrog your growth, this is the reputed company for you.

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, reputed company, national reputed company, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on “protected categories,” reputed company Wild is committed to being an inclusive community where reputed company feel welcome. Whether blatant or hidden, barriers to success have no reputed company at reputed company Wild.

Important privacy information for United States based job applicants can be reputed company here.

Originally posted on Himalayas