Senior Data Engineer

Spy Cloud is on a mission to make the internet a safer place by disrupting the criminal underground. Spy Cloud’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 Spy Cloud a special place to work. If you’re driven to align your career with a fantastic mission, look no further!

As a Senior Data Engineer at Spy Cloud, you will lead the architectural transformation of our data systems, working closely with Product Management, Spy Cloud Labs, and Engineering teams. Your focus will be on modernizing our data platform utilizing Databricks and serving customers via purpose-built data stores (RDS, Elasticsearch, DynamoDB, etc.). This is a hands‑on, strategic leadership role shaping the future of data at Spy Cloud.

• Redesign and modernize data architecture for scalability, performance, and AI‑readiness
• Use Databricks/Spark to prepare, transform, and serve data to customers
• Build and optimize real‑time and batch data pipelines using AWS tools (e.g., Lambda, S3, DynamoDB, ECS, EKS, Terraform)
• Design systems to prepare and serve high‑quality data for ML models and LLM applications
• Optimize cost and performance of daily data ingestion, transformation, and storage workflows
• Work with Product and Engineering teams to ensure data solutions meet product requirements
• Evaluate and implement modern tooling for data processing, ML data workflows, and observability
• Guide and mentor data engineers, championing best practices and technical excellence
• Ensure operational data quality, security, and reliability across systems
• Lead long‑term data architecture planning aligned with company and AI‑driven goals

• 8+ years of experience in data engineering or closely related disciplines
• 2+ years in a technical leadership or senior engineering role
• Experience building and operating Lakehouse, Databricks, or large‑scale distributed data lake architectures in AWS
• Knowledge of distributed systems as it pertains to data storage and computing
• Experience building and managing large Elasticsearch/Open search data stores
• Hands‑on experience building ETL scripts
• Hands‑on experience preparing and managing data for machine learning and LLM workflows
• Strong development skills in Python, especially in building data‑intensive systems
• Practical experience using DynamoDB and other AWS‑native data services at scale
• Effective communication and collaboration across technical and non‑technical stakeholders
• Proven ability to mentor and grow engineering talent and lead large‑scale initiatives

• Familiarity with AI/ML tools such as Sage Maker, Lang Chain, or vector databases
• Understanding of data governance, privacy, and compliance in AI contexts
• Comfort working in fast‑paced environments with evolving product and technical requirements
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related STEM field
• Experience with password cracking tools

Base Salary Range: $144,000 – $187,000

The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.

At Spy Cloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. In addition to our engaging workspace in South Austin, flexible and remote‑friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes:

• 401(k) with Employer Contribution
• Health, Vision, and Dental Insurance
  • Health Savings Account (HSA) available with Employer Contribution
• Employer Paid Life, Short‑term, and Long‑term Disability Insurance
• Generous PTO Plan and 16 paid holidays per year

Spy Cloud transforms recaptured darknet data to disrupt cybercrime. Its automated identity threat protection solutions use advanced analytics and AI to accelerate investigations and protect workforce, consumer, and supplier identities from the threats that matter most: authentication bypass, session…