Senior Data Engineer

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.

As a member of the Data Engineering team, you’ll play a key role in ensuring data is accessible, reliable, and secure to empower data-driven decisions across the company. Our Data Engineering team works closely with product managers, engineers, marketing teams, and other business partners to design, develop, and continuously improve data infrastructure and pipelines. Together, we support Dave’s growth and our ability to better serve our members.

What you’ll do: 

• 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.

• Contribute to the evaluation and adoption of tools and technologies that enhance the data platform.

• Provide technical leadership, mentoring, and guidance to fellow engineers.

What you’ll need: 

• 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.

Nice-to-have: 

• Experience working with banking or fraud data.

• Experience with infrastructure-as-code tools such as Terraform or Pulumi.

• Experience using Fivetran, Airbyte, or similar ETL platforms.

Tools We Use: 

• Programming Languages: Python, Java, Scala, TypeScript

• Cloud Platform: Google Cloud Platform (GCP) — Dataflow (Apache Beam), Cloud Composer (Airflow), PubSub, GCS, CloudSQL (MySQL)

• Data Tools: Snowflake, DBT, Fivetran, Monte Carlo, Mode Analytics

• Version Control & Infrastructure: GitHub, Terraform

Don’t let imposter syndrome get in your way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles.

Why you’ll love working here: 

At Dave, our people are just as important as our product. Our culture is a reflection of our values that guide who we are, how we work, and what we aspire to be. Daves are member centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual first company, team members can live and work anywhere in the United States, with the exception of Hawaii. 

A few of our benefits & perks:

💚 Opport