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Andreessen Horowitz

Venture capital firm investing across sectors

Data Engineer - Global Partnerships

Data Analysis +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A minimum of 5 years of experience, preferably in data analytics or data engineering.
  • A bachelor's degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field is preferred but not required.
  • Demonstrated experience building and maintaining data workflows, automations, or integrations using Python, JavaScript, or a comparable programming language.
  • Proven ability to lead ambiguous, cross-functional projects with substantial autonomy and influence stakeholders across technical and business teams.
  • Experience owning or administering complex data pipelines or another critical business system, with a focus on data completeness, governance, and integration.
  • Demonstrate a critical eye and keen attention to detail for written prose and charts, tables and spreadsheets, and the ability to stay on top of changing data and facts across multiple documents.
  • Strong writing skills and the ability to communicate effectively through the written word.

Responsibilities

  • Own critical systems, including Global Partnerships core datasets and data pipelines, and serve as a technical and strategic thought partner to Global Partnerships and adjacent teams on data practices, automation, and scalable process design.
  • Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems and reduce manual work and error rates.
  • Uphold data precision standards and monitor and rectify discrepancies across different platforms.
  • Evaluate and implement tools and integrations to improve visibility, connectivity, and decision-making.
  • Identify, pilot, and scale AI tools and agentic workflows that reduce manual work, then drive team-wide adoption through training, documentation, and change management.
  • Lead automation, process development, and operational scale; enhance processes through automation to improve data accuracy, reliability, and speed.
  • Act as the team's AI thought partner, stay current on emerging tools, and translate them into concrete improvements to LP-facing and internal processes.
  • Build visualizations and quantitative analyses that provide insights on fund and investment performance, including projected exit scenarios, liquidity, and follow-on decisions.
  • Develop fluency with the firm's portfolio company information database and manipulate and analyze its data to draw insights.
  • Refine and calibrate portfolio performance analyses to keep them current and relevant.

Desired Qualifications

  • Adapt quickly to unforeseen developments without compromising attention to detail or quality.
  • Ask questions upfront to avoid oversights.
  • Take ownership of tasks of varying sizes and help the team work effectively.
  • Follow through on commitments and deadlines.
  • Continually seek new ideas and opportunities for improvement.
  • Anticipate business needs, take ownership proactively, and design scalable solutions.
  • Break down complex processes, identify high-leverage improvements, and guide teams through change.
  • Serve as a trusted partner and emerging leader whom peers consult on data practices, systems, and efficiency.

About the Company

Andreessen Horowitz

Venture capital firm investing across sectors

Andreessen Horowitz (a16z) is a venture capital firm that provides funding to startups across seed to growth stages in areas like AI, bio, consumer, crypto, enterprise, fintech, and infrastructure, plus specialized funds such as growth, crypto, and bio + health. It complements capital with operational support, ecosystem connections, and programs like the a16z speedrun accelerator. What sets a16z apart is its use of multiple sector-specific funds and a global office network to back a wide range of portfolio companies. Its goal is to help ambitious founders turn ideas into global, scalable businesses by offering capital and hands-on resources along the way.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$343B
Headquarters
Menlo Park, CA
Founded
2009

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