Senior Analytics Engineer at AngelList

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Venture Capital, FinTechIndustries

Requirements

5+ years of experience designing and implementing scalable data pipelines and infrastructure
Strong technical expertise in modern tools and frameworks, including cloud platforms (AWS), distributed systems, and advanced SQL
Proficiency in programming languages (such as Ruby or Python) – understanding of codebase required
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
Nice-to-have: Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
Nice-to-have: Exposure to machine learning workflows and supporting MLOps tools
Nice-to-have: Experience in building analytical tools or data engineering services

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

Skills

ETL

ELT

SQL

NoSQL

Data Pipelines

Data Lakes

Data Warehouses

Data Ingestion

Data Transformation

AngelList

Provides fundraising tools for startups

About AngelList

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.

San Francisco, CaliforniaHeadquarters

2010Year Founded

$120.7MTotal Funding

SERIES_CCompany Stage

Venture Capital, Financial ServicesIndustries

501-1,000Employees

Benefits

Remote Work Options

Hybrid Work Options

Company Equity

Risks

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.

Differentiation

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.

Upsides

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.

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