Data Engineer

Join SpyCloud as a Data Engineer II, where you'll play a crucial role in evolving our data platform using cutting-edge technologies like Databricks and Spark. You'll design, build, and improve scalable data systems, optimize data pipelines, and collaborate with various teams to develop effective technical solutions. This hands-on role offers competitive salaries, equity, and a remote-friendly culture.

• Design, build, and improve scalable data systems with a focus on performance, and reliability.
• Build, optimize, and maintain real-time and batch data pipelines using AWS technologies such as Lambda, S3, DynamoDB, ECS, EKS, and Terraform.
• Independently own complex data engineering initiatives from design and development through deployment and production support.

• Practical experience with DynamoDB and other AWS-native data services
• Experience building and operating Lakehouse, Databricks, or large-scale distributed data architectures in AWS
• Strong development skills in Python, particularly when building data-intensive systems
• 5+ years of professional experience in data engineering, software engineering, or a closely related discipline
• Experience troubleshooting complex data pipeline, performance, and data quality issues in production environments
• Experience preparing and managing data for machine learning and LLM workflows
• Strong communication and collaboration skills across technical and non-technical stakeholders
• Hands-on experience designing, building, and maintaining ETL and data-processing pipelines
• Experience building and managing Elasticsearch/OpenSearch data stores
• Experience with infrastructure-as-code tools such as Terraform
• Ability to independently own complex technical projects from design and development through deployment and production support
• Strong understanding of distributed systems as they relate to data storage, processing, and computing
• Ability to evaluate technical trade-offs and contribute effectively to architectural and design decisions
• 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
• Comfort working in fast-paced environments with evolving product and technical requirements
• Experience working with cybersecurity or security-related datasets and technologies
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related STEM field