Key skills
Data ManagementETL/ELT DevelopmentPythonSQLAWS ServicesServerless ArchitecturesContainerizationDevOps PracticesAutomationCI/CD PipelinesConfiguration ManagementData Platform DesignCloud-first ArchitectureAnalytical SkillsETLELTSnowflakeAWSDockerServerlessFargateLambdaS3GitHubCI/CDLeadershipCommunicationCollaboration
About this role
Best Egg is a market-leading, tech-enabled financial platform helping people build financial confidence through a variety of installment lending solutions and financial health tools. We are seeking a highly skilled and experienced Data Platform Engineer II to lead the design, development, and scaling of our data platform capabilities, ensuring reliability and alignment with best engineering standards.
Responsibilities:
- Design, build, and deploy data platform components across Snowflake, AWS, and the broader technology stack
- Architect, implement, and support data capabilities including automations, integrations, interfaces, and underlying infrastructure
- Develop, maintain, and optimize CI/CD pipelines to ensure reliable and repeatable data delivery
- Implement and manage monitoring, logging, and alerting frameworks to ensure the availability, quality, and performance of data assets
- Serve as a data leader, data champion and subject‑matter expert for engineering, product, and business teams, providing mentorship and guidance to junior engineers
- Collaborate with cross‑functional teams to identify, troubleshoot, and solve complex technical and data‑related challenges
- Ensure adherence to security, privacy, and compliance standards, including SOC2 and PCI‑DSS
Requirements:
- 7+ years of experience in data management and ETL/ELT development, with a strong focus on building high‑quality, scalable data products
- Advanced proficiency in Python and SQL
- Hands‑on experience with AWS services such as Lambda, S3, serverless architectures, and containerized workloads (e.g., Docker)
- Strong background in DevOps practices, automation, and modern deployment workflows
- Experience with configuration management tools
- Proven experience designing, building, and maturing data products and data platform capabilities
- Experience working across both on‑premises data environments and cloud‑first architectures
- Excellent analytical and problem‑solving skills
- Strong communication, collaboration, and leadership abilities
- Experience with Snowflake
- Experience with Monte Carlo – Observability Tool
- Experience with AWS 'serverless' technologies (e.g. lambda, step functions, fargate)
- Knowledge of GitHub products (actions, workspaces, secrets, etc)