Full-Time

Senior Analytics Engineer

Confirmed live in the last 24 hours

AngelList

AngelList

501-1,000 employees

Venture capital platform for startups and investors

Venture Capital
Financial Services

Compensation Overview

$180kAnnually

Senior

San Francisco, CA, USA

Hybrid role requiring in-office presence twice a week in San Francisco.

Category
Data Management
Data Engineering
Data & Analytics
Required Skills
Redshift
Python
Airflow
NoSQL
Ruby
SQL
AWS
Data Analysis
Snowflake
Requirements
  • 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 Redshift or Snowflake and orchestration tools like Airflow or dbt.
  • Proactive problem solving with a track record of optimizing systems for performance and cost while addressing complex technical challenges.
  • Excellence collaborating with cross-functional teams, aligning technical solutions with business objectives, and delivering measurable improvements to data workflows and decision-making processes.
  • Startup/high-growth experience with the scrappiness required to be successful at AngelList!
Responsibilities
  • 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.

AngelList operates in the venture capital market, offering tools for startups and investors to facilitate fundraising. Its main products include modern cap tables, syndicates, and investor portals, which help startups raise capital more efficiently. Unlike many competitors, AngelList focuses on creating a streamlined process for both startups and investors, making it easier for them to connect and collaborate. The company's goal is to boost innovation by increasing the number of successful startups around the world.

Company Stage

Series C

Total Funding

$120.7M

Headquarters

San Francisco, California

Founded

2010

Growth & Insights
Headcount

6 month growth

1%

1 year growth

0%

2 year growth

1%
Simplify Jobs

Simplify's Take

What believers are saying

  • AngelList's global presence includes the U.S., UK, Canada, and India.
  • The platform has supported over 20 unicorns, showcasing its success in venture capital.
  • AngelList's mission to accelerate innovation aligns with increasing interest in AI-driven startups.

What critics are saying

  • Emerging platforms like Bemi could challenge AngelList's dominance in the tech startup ecosystem.
  • Increased competition from AI-driven platforms like Spyne and Myko may impact market share.
  • Alternative funding sources may reduce AngelList's influence in the venture capital market.

What makes AngelList unique

  • AngelList offers modern cap tables and professional fundraising tools for startups.
  • The platform supports over 18,000 startups and manages $15 billion in assets.
  • AngelList simplifies capital-raising with innovative solutions like syndicates and investor portals.

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Benefits

Remote Work Options

Hybrid Work Options

Company Equity