Senior Data Engineer - Remote

Overview

We are seeking a Senior Data Engineer to join our Data organization and help build and maintain scalable data pipelines and infrastructure. In this role, you will design, implement, and optimize the data infrastructure and pipelines that lake, warehouse, stream, and distribute Dave’s data.

In Short

• Design, develop, and implement end-to-end data solutions, including data architecture, test plans, and proof of concepts.
• Build and maintain scalable data pipelines for batch and real-time data processing.
• Optimize and enhance existing data pipelines to improve reliability, performance, and cost-efficiency.
• Develop and manage third-party API integrations to ingest external data sources.
• Design and maintain data warehouse solutions, ensuring efficient data modeling and high-performance querying.
• Partner with analytics and data science teams to enable data-driven insights and machine learning at scale.
• Collaborate with engineering and business teams to ensure data infrastructure is reliable, scalable, and aligned with business needs.
• Document data processes, data models, and system architectures to promote knowledge sharing and maintainability.
• Advocate for and implement best practices in data governance, security, and compliance.
• Provide technical leadership, mentoring, and guidance to fellow engineers.

Requirements

• BS in Computer Science, related technical field, or equivalent practical experience. MS or PhD in databases, distributed systems is a plus.
• 4+ years of engineering experience with a focus on data engineering.
• Proficient with Python.
• Expertise in SQL (experience with NoSQL databases is a plus).
• Strong experience with Airflow for data orchestration.
• Hands-on experience with DBT for data transformation and data modeling.
• Strong understanding of data warehousing concepts and experience optimizing data pipelines for performance and scalability.
• Experience designing and operating data services and data pipelines in a cloud environment.
• Experienced with streaming data platforms and stateful streaming architectures.
• Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.
• Strong analytical skills with a focus on delivering customer value through data.

Benefits

• Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals.
• Flexible hours and virtual first work culture with a home office stipend.
• Premium Medical, Dental, and Vision Insurance plans.
• Generous paid parental and caregiver leave.
• 401(k) savings plan with matching contributions.
• Financial advisor and financial wellness support.
• Flexible PTO and generous company holidays, including Juneteenth and Winter Break.
• All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team.