SpyCloud
Senior Data Engineer
Austin, Texas · Senior · Full-time
Sponsorship not specified$144k-$187kDetected 1 day ago
PythonDistributed SystemsElasticsearchDynamoDBDatabricksVector DatabasesAWSTerraformMachine LearningSparkData EngineeringLLMsComplianceDesign SystemsUnityLeadershipCommunicationCollaboration
About the role
- 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.
- 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.
Responsibilities
- 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
- Evaluate and implement modern tooling for data processing, ML data workflows, and observability
- Lead long-term data architecture planning aligned with company and AI-driven goals
- Experience building and operating Lakehouse, Databricks, or large-scale distributed data lake architectures in AWS
Requirements
- 8+ years of experience in data engineering or closely related disciplines
- 2+ years in a technical leadership or senior engineering role
- Knowledge of distributed systems as it pertains to data storage and computing
Nice to have
- Familiarity with AI/ML tools such as SageMaker, LangChain, or vector databases
- Understanding of data governance, privacy, and compliance in AI contexts
- 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
- Comfort working in fast-paced environments with evolving product and technical requirements
Compensation
- 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.
- $144,000 - $187,000
- 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:
- Generous PTO Plan and 16 paid holidays per year
- Generous Holiday Plan and 14 paid holidays per year
- At SpyCloud, we believe in transparency and fairness in compensation.
Benefits
- 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
- Retirement Savings Plan with Employer Contribution
- Employer Provided Private Health Insurance and Healthcare Cashplan
- Employer Paid Life Insurance and Income Replacement
- Generous Holiday Plan and 14 paid holidays per year
- 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.
Company info
- 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:
- 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.
- 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.
- 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.
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This listing is sourced directly from SpyCloud's careers page and normalized into a canonical job model.