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Staff Software Engineer - Data Intelligence ID-12023

Who We Are

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 45 countries, Addepar’s platform aggregates portfolio, market and client data for over $7 trillion in assets. Addepar’s open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in Silicon Valley, New York City, Salt Lake City, Chicago, London, Edinburgh and Pune.

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The Role

The Precompute Platform team is seeking a Staff Engineer to join the team. The team is core to achieving Addepar's transition to using next generation tools and processes for data and analytics with a scalable global operating model. Its mission is to empower analysts, researchers, and other internal teams to performantly generate data and analytics artifacts. We operate on Terabyte-scale datasets, and enable second to sub-second performance by leveraging vector-oriented programming and distributed systems.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $150,000 - $234,000 (base salary) + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

What You’ll Do
  • Facilitate constructive, productive discussions around complex technical and organizational issues with a focus on solving business challenges.
  • Architect, implement, and maintain engineering solutions to solve sophisticated problems; write well-designed, testable code.
  • Work in partnership with product managers and technology partners to plan & scope complex, long-term projects, including ones with external dependencies or multiple team members.
  • Gain foundational knowledge of core Addepar systems, including the Addepar Data Lakehouse. Use these insights to work with counterparts. Drive opportunities to improve the end-user experience.
  • Reduce complexity through the adoption of strategic data architecture and workflows
  • Empower others to achieve a higher level of performance and help build a culture of lending support.

Who You Are

  • B.S., M.S., or Ph.D. in Computer Science or similar technical field (or equivalent practical experience).
  • Experience in building and evolving large-scale, high-performing distributed systems.
  • 6+ years experience as a professional software engineer, primarily in Python.
  • Experience with vector-oriented development (NumPy, PyArrow, Dask, Spark are preferred, but we are open to candidates with experience of other vector languages)
  • Strong AWS knowledge and architectural experience.
  • A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills.

Our Values

  • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
  • Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
  • Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
  • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
  • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

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