Best Egg - Data Platform Engineer II
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Requirements
• In this role, you will lead the design, development, and scaling of our data platform capabilities. You will work across diverse data domains, drive data discovery for new and evolving requirements, and build robust data transfer and migration solutions. You will also play a key role in advancing our data governance and data product maturity, ensuring our platform is reliable, scalable, and aligned with best‑in‑class engineering standards. You should be equally comfortable acting as an independent contributor, a team player, and a advisor. • This is an exciting opportunity for a motivated engineer who is passionate about building, improving, and maturing data ecosystems. If you thrive in cloud‑native environments, enjoy solving complex data challenges, and want to influence the direction of our data strategy, we encourage you to apply. • 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 Monte Carlo – Observability Tool • Experience with AWS "serverless" technologies (e.g. lambda, step functions, fargate) • Knowledge of GitHub products (actions, workspaces, secrets, etc) • $115,000 - $140,000 a year • This position is also eligible for an annual incentive bonus based on individual and company performance. Yearly incentive bonus target 20% of base salary.
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.
Benefits
• Best Egg offers many additional benefits for our employees, including (but not limited to): • · Pre-tax and post-tax retirement savings plans with a competitive company matching • · Generous paid time-off plans including vacation, personal/sick time, paid short-- • term and long-term disability leaves, paid parental leave, and paid company • · Multiple health care plans to choose from, including dental and vision options • · Flexible Spending Plans for Health Care, Dependent Care, and Health • Reimbursement Accounts • · Company-paid benefits such as life insurance, wellness platforms, employee • assistance programs, and Health Advocate programs • · Other great discounted benefits include identity theft protection, pet insurance, • fitness center reimbursements, and many more! • In compliance with the CCPA, Best Egg is fully committed to handling the personal information and data of employees and job applications responsibly with respect and due care. Review our CCPA Employee Policy here • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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