Data Engineer II

🏢 Spycloud · 📍 Austin, Texas 💰 $104,000 - $104,000 / yr

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Position Summary & Responsibilities

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud’s solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further!

This Data Engineer II role sits on the Engineering team, reporting to the Senior Director of Data Engineering. Your focus will include evolving our data platform using technologies such as Databricks and Spark, building scalable data pipelines, and serving customers through purpose-built data stores including RDS, Elasticsearch, and DynamoDB. This is a hands-on individual contributor role with ownership of complex data engineering initiatives that support the scalability, reliability, and continued evolution of SpyCloud’s data platform.

What You'll Do:

Design, build, and improve scalable data systems with a focus on performance, and reliability.
Use Databricks and Spark to prepare, transform, and serve high-quality data to customers and downstream systems.
Build, optimize, and maintain real-time and batch data pipelines using AWS technologies such as Lambda, S3, DynamoDB, ECS, EKS, and Terraform, as well as develop and maintain pipelines within the Databricks ecosystem.
Identify and implement improvements to the cost and performance of data ingestion, transformation, and storage workflows.
Be available for on-call support to troubleshoot and remediate data pipeline failures outside of standard business hours.
Partner with Product Management, SpyCloud Labs, and Engineering teams to understand requirements and develop effective technical solutions.
Evaluate and implement modern tooling for data processing, ML/AI data workflows, and observability.
Contribute to architectural and technical design decisions and help implement scalable solutions aligned with engineering standards.
Promote engineering best practices through collaboration, code reviews, documentation, and knowledge sharing.
Identify and resolve complex data quality, performance, security, and reliability issues across production systems.
Independently own complex data engineering initiatives from design

🎯 Candidate Preparation Guide For Spycloud Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Deep cybersecurity expertise in identity threat detection, dark web intelligence, and automated account takeover (ATO) prevention.

📋 Preparation Priorities (Key Areas to Clarify):

1. Superficial understanding of modern authentication protocols and identity management.
2. Recommending reactive security postures instead of proactive threat prevention.
3. Inability to clearly articulate the ROI of threat intelligence solutions to CISOs.

✨ Recommended Role Alignment Hook:

I help enterprises neutralize identity-based attacks before criminals weaponize stolen session data and credentials.

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