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Addepar

Staff Software Engineer - Precompute Platform

Remote Edinburgh, UK
Spark AWS Python NumPy
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Description

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 $6 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.

The Role

The Precompute Platform team is seeking a senior backend engineer (II) 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. The team's 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.

What You’ll Do

  • 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 map out solutions for challenging technology and workflow problems.
  • 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
  • Communicate technical ideas and set direction on projects with a focus on solving business challenges.
  • Mentor other engineers on the team.

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.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com.

Addepar
Addepar
Analytics Financial Services FinTech SaaS Wealth Management

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