Senior Data Engineer
Quick Summary
Redesign and modernize data architecture for scalability, performance, and AI-readiness Use databricks/spark to prepare,
8+ years of experience in data engineering or closely related disciplines 2+ years in a technical leadership or senior engineering role
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!
As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data systems, working closely with Product Management, SpyCloud 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 SpyCloud.
Responsibilities
~1 min read- →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
Requirements
~2 min read- 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/Opensearch 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
At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. 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
Nice to Have
~1 min read- Familiarity with AI/ML tools such as SageMaker, LangChain, 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
- C programming language experience
- Go programming language experience
- Experience with password cracking tools
What We Offer
~1 min readSpyCloud 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 hijacking, malicious insiders, account takeover, ransomware, and fraud. Its data from malware-infected devices, successful phishes, combolists, and third-party breaches also powers many popular dark web monitoring and identity theft protection offerings. Customers include 7 of the Fortune 10, along with hundreds of global enterprises, mid-sized companies, and government agencies worldwide. Headquartered in Austin, TX, SpyCloud is home to more than 250 cybersecurity experts whose mission is to protect businesses and consumers from the stolen identity data criminals are using to target them now.
To learn more and see insights on your company's exposed data, visit spycloud.com.
Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals’ ability to profit from stolen information.
SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, we’re amazing, but together, we’re unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all. We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. SpyCloud complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
SpyCloud expressly prohibits any form of workplace harassment. Improper interference with the ability of SpyCloud's employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations.
If you need assistance or accommodation due to a disability, you may contact us.
Our culture is something really special. We’re all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, you’ll fit right in.
We will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with SpyCloud to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing SpyCloud should email careers@spycloud.com.
Location & Eligibility
Listing Details
- Posted
- July 20, 2026
- First seen
- July 20, 2026
- Last seen
- July 21, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- July 20, 2026
Signal breakdown

SpyCloud transforms recaptured darknet data to protect businesses from identity-based cyberattacks, offering solutions for ransomware prevention, account takeover protection, and cybercrime investigations.
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