Data Engineer

Who you are

• 5+ years of professional experience in data engineering, software engineering, or a closely related discipline
• Experience building and operating Lakehouse, Databricks, or large-scale distributed data architectures in AWS
• Strong understanding of distributed systems as they relate to data storage, processing, and computing
• Experience building and managing Elasticsearch/OpenSearch data stores
• Hands-on experience designing, building, and maintaining ETL and data-processing pipelines
• Experience preparing and managing data for machine learning and LLM workflows
• Strong development skills in Python, particularly when building data-intensive systems
• Practical experience with DynamoDB and other AWS-native data services
• Experience with infrastructure-as-code tools such as Terraform
• Experience troubleshooting complex data pipeline, performance, and data quality issues in production environments
• Ability to independently own complex technical projects from design and development through deployment and production support
• Ability to evaluate technical trade-offs and contribute effectively to architectural and design decisions
• Strong communication and collaboration skills across technical and non-technical stakeholders
• Familiarity with AI/ML tools and technologies such as SageMaker, LangChain, or vector databases
• Understanding of data governance, privacy, and compliance considerations within AI and ML environments
• Experience with observability and monitoring tools for large-scale data platforms
• Experience with Go or C programming languages
• Experience working with cybersecurity or security-related datasets and technologies
• 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

What the job involves

• 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
• 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 and development through deployment and production support
• Contribute to the continued evolution of SpyCloud’s data platform as product, customer, and AI requirements grow

Benefits

• Health benefits: From medical to dental, we’ve got you covered.
• Work/life balance: We offer generous PTO and a remote-friendly culture.
• Compensation: Our talented employees enjoy competitive salaries and equity.
• 401k matching: Investing in the future of our employees is a no-brainer.
• SpyCares: We’re only as strong as the communities we’re a part of and giving back is in our DNA.