Senior Data Engineer

AngelList is the nexus of venture capital and startup community, supporting over $124B+ assets and driving capital to over 12,000 startups.
$180,000
Data
Senior Software Engineer
Hybrid
5+ years of experience
Finance

Description For Senior Data Engineer

AngelList, a leading platform in venture capital and startup ecosystem, is seeking a Senior Data Engineer to join their team. With over $124B+ in assets and connections to 12,000+ startups, AngelList is revolutionizing the financial infrastructure for venture investors and startups.

The role offers an exciting opportunity to work at the intersection of data engineering and venture capital. As a Senior Data Engineer reporting to the Head of Data, you'll be responsible for designing and maintaining scalable data pipelines, optimizing data systems, and enabling data-driven decision-making across the organization.

The position requires expertise in ETL/ELT processes, data storage solutions, and system optimization. You'll work with both structured and unstructured data, implementing best practices for data management while ensuring security and compliance. The role involves close collaboration with analysts and stakeholders to deliver solutions that meet business needs.

Success in this role means delivering reliable data pipelines, fostering seamless data access for decision-making, and driving improvements in infrastructure scalability. The ideal candidate should have experience with containerization, ML workflows, and analytical tools.

Working from our engineering hub in San Francisco, you'll collaborate in-office twice weekly with the option for hybrid work. We offer competitive compensation starting at $180,000+, comprehensive benefits, and the opportunity to work with a diverse team united in accelerating innovation in the startup ecosystem.

Last updated 4 months ago

Responsibilities For Senior Data Engineer

  • Design, build, and maintain robust, scalable ETL/ELT pipelines
  • Implement best practices for data ingestion, transformation, and integration
  • Optimize and maintain data storage solutions
  • Monitor and troubleshoot database performance issues
  • Collaborate with data analysts and business stakeholders
  • Contribute to data architecture and strategy
  • Develop tools for automated data quality validation
  • Implement data security, privacy, and governance policies
  • Maintain monitoring and alerting mechanisms for data pipelines

Requirements For Senior Data Engineer

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

Benefits For Senior Data Engineer

  • Competitive base salary
  • Equity package
  • Comprehensive benefits package

Interested in this job?

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