Senior Data Engineer

Why Join AngelList 

We’re solving some of the hardest problems in venture capital and private markets. You’ll work with a team that values precision, urgency, and long-term thinking. If you want to shape how startups are funded and built, this is the place.

About AngelList

We exist to accelerate innovation by increasing the number of successful startups in the world. We do this by building the financial infrastructure that makes it easier for more people to invest in world-changing companies.

AngelList is the nexus of venture capital and the startup community. We support $171B in assets and have powered investments into over 13,000 startups—over 300 of which are unicorns. Today, 57% of top-tier U.S. VC deals involve investors on AngelList. While our scale is large, our ambition is larger.

If you're excited to build the future of private markets, 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. We'e looking to 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, we’d love to hear from you.

• 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 organization’s 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.

• 5 years of experience designing and implementing scalable data pipelines and infrastructure. 
• Strong technical expertise in modern tools and frameworks, including cloud platforms (we're built on AWS), distributed systems, and advanced SQL. 
• Proficiency in programming languages (such as Ruby or Python) – you don't need to be a software engineer, but should understand our codebase.
• Hands-on experience with data warehousing solutions like Snowflake or Redshift and orchestration tools like Airflow or dbt. (We're migrating from Redshift to Snowflake.)
• A strong sense of ownership and accountability, with a track record of proactively improving systems for performance, reliability, and cost while addressing complex technical challenges.
• Excels at cross-functional collaboration, aligning technical solutions with business goals and delivering measurable improvements to data workflows and decision-making.
• Curiosity and a growth mindset, demonstrated through learning new tools, deepening technical expertise, and continuously improving processes.
• Startup/high-growth experience with the scrappiness required to be successful at AngelList!

• 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 and timely data for decision-making.
• Tangible improvements in infrastructure scalability, cost-effectiveness, and adaptability to evolving business needs.

Working Here

If you don’t meet every requirement above, we still encourage you to apply. We value complementary strengths and operators who learn by doing.

AngelList has offices in a few cities, and our engineering hub in San Francisco. We’re focused on hiring from this hub office so data teams members can collaborate with engineers and product teams 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 candidate’s professional background, experience, and location. Additional details about our Total Rewards package will be provided during the recruitment process.

Benefits:

We support your life both in and outside of work.

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What Guides Us:

At AngelList, we are united in our purpose to accelerate innovation and build the future of private markets. Our beliefs and values shape what we work on and how we create impact. If the below resonate, we’d love to have you with us.

Our beliefs

Our values & leadership expectations

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.