Senior Data Platform Engineer

Your day-to-day:

• Design, develop, and maintain scalable data infrastructure and pipelines to support real-time and batch data processing.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions that meet business needs.
• Optimize and enhance existing data platforms to improve performance, reliability, and scalability.
• Implement and enforce best practices for data governance, data quality, and data security.
• Develop and maintain ETL processes to integrate data from various sources into our data warehouse and securely export data to external partners.
• Setup 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 to automate model deployment, monitoring, and retraining, ensuring seamless integration with existing data pipelines.
• Collaborate with machine learning engineers and data scientists to build and maintain feature stores, enabling efficient feature reuse and accelerating model development.
• Mentor and guide junior engineers, fostering a culture of learning and growth within the team.

What you’ll bring to the team:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in data engineering or related roles, with a strong focus 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) for model deployment, monitoring, and versioning.
• Familiarity with feature engineering techniques for ML, feature selection, and feature store management to enhance model performance and reliability.
• Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.


Not sure this one’s for you? Don’t count yourself out. Show us what you’ve got and we’ll reach out if there’s a great 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
• 100% paid parental and caregiving leave, plus cleaning service and meals during your leave
• Flexible WFH, both remote and in-office opportunities
• Fully stocked kitchen, catered lunches, and occasional in-office happy hours
• Employee resource groups