Senior Data Platform Engineer Opportunity at Greenlight

Join Greenlight, the leading family fintech company dedicated to helping parents raise financially savvy kids. With our award-winning banking app for families, we proudly serve over 6 million parents and kids. At Greenlight, we enable parents to automate allowance, manage chores, set flexible spend controls, and invest for their family's future. Kids and teens learn essential financial habits, including earning, saving, spending wisely, and investing.

About Greenlight

We believe that every child deserves the opportunity to become financially healthy and happy. Our mission inspires us to leap out of bed every morning because we are building a better, brighter future for the next generation. We are looking for a highly skilled and experienced Senior Data Platform Engineer to join our dynamic and innovative engineering team.

Role Overview: Senior Data Platform Engineer

As a Senior Data Platform Engineer at Greenlight Financial Technology, you will design, build, and maintain scalable data infrastructure to support our data-driven decision-making processes. You will play an essential role in driving our data strategy, ensuring data quality, and enabling seamless data integration across the organization.

Key Responsibilities

• Design, develop, and maintain scalable data infrastructure and pipelines for real-time and batch data processing.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and implement business solutions.
• Optimize and enhance existing data platforms to improve performance, reliability, and scalability.
• Implement best practices for data governance, quality, and security.
• Develop and maintain ETL processes to integrate data from various sources into our data warehouse and export data securely to external partners.
• Set up and maintain CI/CD processes for automated deployment, integration, and testing.
• Monitor and troubleshoot data platform issues, ensuring high availability and performance.
• Implement MLOps processes for model deployment, monitoring, and retraining.
• Collaborate with machine learning engineers and data scientists to build and maintain feature stores.
• Mentor and guide junior engineers, fostering a culture of learning and growth.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 7+ years of experience in data engineering or related roles, focusing on data platform development.
• Proficiency in programming languages such as Python, Java, or Scala.
• Extensive experience with SQL and NoSQL databases, data modeling, and data warehousing solutions.
• Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and cloud-native data services.
• Expertise in building and managing ETL pipelines using tools like Apache Spark, Apache Airflow, or similar technologies.
• Experience or familiarity with MLOps tools and practices (e.g., MLflow, Kubeflow).
• Familiarity with feature engineering techniques, feature selection, and feature store management.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Not sure if this role is right for you? Show us what you've got, and we’ll reach out if there's a good fit.

Work Perks at Greenlight

• Medical, dental, vision, and HSA match
• Paid life insurance, AD&D, and disability benefits
• Traditional 401k with company match and Roth IRA
• Unlimited PTO
• Paid company holidays and pop-up bonus holidays
• Wellness & professional development stipends
• Mental health resources
• 1:1 financial planners
• Fertility healthcare
• Paid parental and caregiving leave, plus cleaning service and meals during your leave
• Flexible WFH options, both remote and in-office opportunities
• Fully stocked kitchen, catered lunches, and occasional in-office happy hours
• Employee resource groups

Compensation

Greenlight offers a competitive compensation package with a market-based approach to pay. The