Senior Data Engineer hybrid / Full Time San Francisco, CA

We exist to accelerate innovation. We do this by giving 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. We also build tools for startup founders that help them run their operations, so they can focus on building their company.

AngelList is the nexus of venture capital and the startup community. We support over $171B+ assets on our platform, and weve driven capital to over 13,000 startups. 57% of top-tier U.S. VC deals involve investors on AngelList.

While our scale is large, our ambitions are even larger were innovating on the infrastructure for venture and individual investors and the startups they invest in. Come build with us!

About the Role :

AngelList is hiring a 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 efficiency. With a highly skilled and experienced Data Engineer, we can accelerate the development of reliable pipelines, improve data availability, and empower faster decision-making across teams!

If you're enthusiastic about working in a startup environment with large datasets, optimizing data systems, and enabling data-driven decision-making, wed love to hear from you.

Key Areas of Impact :

• 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.
• 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 organizations data architecture and strategy.
• Continuously evaluate and integrate new technologies and tools for automated data quality validation and to improve data engineering processes overall.
• Maintain and improve robust monitoring and alerting mechanisms for data pipelines and systems.

Ideal Candidate will Bring :

Other characteristics that are nice-to-have :

How Success will be Measured :

If you dont tick every box above, wed still encourage you to apply. Were 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. Were 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).

Compensation : The compensation for this role consists of a competitive base salary, benefits, and equity package. The base salary for this role is $190,000+ annually but actual will vary based on a number of factors including a candidates 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.

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, wed love to have you with us.

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.

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