Staff Software Engineer - Data Intelligence

3 Months ago • 6 Years + • Data Analysis • $150,000 PA - $234,000 PA

Job Summary

Job Description

The Staff Engineer will architect, implement, and maintain engineering solutions, focusing on building and evolving large-scale, high-performing distributed systems. They will work in partnership with product managers to plan complex projects, understand core Addepar systems, and improve the end-user experience. They will also reduce complexity through strategic data architecture and workflows. The role involves facilitating discussions on technical and organizational issues and empowering others to achieve a higher level of performance.
Must have:
  • Experience in building distributed systems.
  • 6+ years of software engineering experience, primarily in Python.
  • Experience with vector-oriented development.
  • Strong AWS knowledge and architectural experience.
  • Bachelor's degree in Computer Science or related field.
Perks:
  • bonus
  • equity
  • benefits

Job Details

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 50 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, Pune, and Dubai.

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.

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.

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