Senior Data Engineer

About AngelList:
We exist to accelerate innovation by increasing the number of successful startups in the world. We want to give more people the opportunity to participate in the venture economy by building the financial infrastructure that makes it possible for more people to invest in world changing startups, and build tools for startups that help them run their operations so they can focus on building. 
AngelList is the nexus of venture capital and the startup community. We support over $124B+ assets on our platform, and we’ve driven capital to over 12,000 startups, almost 282 of which are unicorns. 57% of top-tier U.S. VC deals involve investors on AngelList.
While our scale is large, our ambitions are even larger – we’re innovating on the financial infrastructure for venture investors and the startups they invest in. Come build with us.
About the Role:
AngelList is looking for a highly skilled and experienced Senior Data Engineer who is passionate about using their technical skills to democratize data, metrics, and insights for the team. Reporting to the Head of Data, you will play a pivotal role in designing, building, and maintaining scalable data pipelines, ensuring efficient data flow and integration to support analytical and operational needs. If you're passionate about working with large datasets, optimizing data systems, and enabling data-driven decision-making, we’d love to hear from you.

You will:

• Design, build, and maintain robust, scalable, and efficient ETL/ELT pipelines for structured and unstructured data.
• Implement best practices for data ingestion, transformation, and integration across multiple sources.
• Optimize and maintain data storage solutions (e.g., SQL/NoSQL databases, data lakes, warehouses) for performance and cost-effectiveness.
• Monitor and troubleshoot database performance issues and ensure data availability and consistency.
• Collaborate with data analysts and business stakeholders to understand data requirements and deliver solutions that meet their needs.
• Contribute to the development and implementation of the organization’s data architecture and strategy.
• Develop tools and frameworks for automated data quality validation, testing, and deployment.
• Continuously evaluate and integrate new technologies and tools to improve data engineering processes.
• Implement and enforce data security, privacy, and governance policies to ensure compliance with relevant regulations (e.g. GDPR, CCPA).
• Maintain/improve robust monitoring and alerting mechanisms for data pipelines and systems.

How Success will be Measured in this Role:

• Delivery of reliable, scalable, and efficient data pipelines within agreed timelines, with minimal downtime and robust monitoring systems in place.
• Successful collaboration with analysts and stakeholders to enable seamless access to accurate, timely data for decision-making.
• Tangible improvements in infrastructure scalability, cost-effectiveness, and adaptability to evolving business needs.

Other characteristics of the ideal candidate:

• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Exposure to machine learning workflows and supporting MLOps tools.
• Experience in building analytical tools or data engineering services.
• Experience with statistics or data science.

If you don’t tick every box above, we’d still encourage you to apply. We’re building a diverse team whose skills balance and complement one another.
AngelList has offices in a few cities, and our engineering hub in San Francisco. We’re focused on hiring from this hub office so engineers and product teams can collaborate in the office at least twice per week (Tuesdays and choice between Wednesday or Thursday). From time to time, we will make exceptions for new hires if they need to be in another office or fully remote.
Compensation: The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $180,000+ annually but actual will vary based on a number of factors including a candidate’s professional background, experience, and location. Additional details about our Total Rewards package will be provided during the recruitment process.
Benefits: We support our employees in their lives both inside and outside of work.*See additional detail on our benefits here: https://angell.ist/venture-benefits*Learn about our Funders & Founders Program here: https://join.angellist.com/
Working at AngelList: At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets. Our beliefs and values shape how we work, collaborate, and create impact. If the below resonate, we’d love to have you with us.*Beliefs: https://angell.ist/beliefs*Values & Leadership Expectations: https://angell.ist/values
AngelList is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.