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Software Engineer Intern - Research

Remote: 
Full Remote
Contract: 
Salary: 
65 - 102K yearly
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Currently enrolled in a university in the US or Canada, Exceptional skills in software engineering, Familiarity with Databricks, PySpark, Python, Basic proficiency in Linux and shell scripting.

Key responsabilities:

  • Work on assigned research engineering projects
  • Produce production code and demonstrate project outcomes

Addepar logo
Addepar SME https://addepar.com/
501 - 1000 Employees
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Job 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 $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.

Being a part of the AddeU Internship Program, you will be working on meaningful project(s) that you can feel proud of and present back to the company at the end of the experience. In addition to having a supporting manager and mentor, we have a fantastic onboarding program to get you acclimated and ready for your time with us. Fun events and super cool swag are also included!

At the moment, our 12-week internship experience is remote. Dates are currently set for June - August 2025 but please advise your recruiter. Seeking US or Canadian students only.

The Role

We are currently seeking a Software Engineer Intern to join the Research Engineering Team.

Research is one of the most exciting areas in Addepar from a data, engineering and business perspective. We collaborate deeply with the Research Team to enable them to do research with quality at scale. 

If you are excited by the intersection of software engineering, financial research and the zero-to-one mentality then we’d love to meet you!

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 $34 - $53.

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
  • We can choose the exact project you’ll work on after you join, but some of the themes that we’re pursuing include: building frameworks for researchers, guardrailing best practices, data product factories, high-performance computing, global data aggregation and AI-first engineering.
  • You’ll work alongside talented, senior and staff engineers.
  • You’ll ship production code regularly.
  • Learn and demonstrate engineering standard processes and principles.
  • Practice communicating up/down/laterally.
  • Navigate ambiguity.
  • Produce a retrospective and demonstrate your summer project to an internal audience.
Who You Are 
  • Must be currently enrolled in a post-secondary educational institution (university must be located in the US or Canada) & must be returning to school after internship
  • Available to intern for the full 12 weeks
  • Extraordinary talent in software engineering. Ability to write high quality code
  • Excellent written and verbal communication skills
  • Solid understanding of development standard processes and experience working in a team
  • Ability to explore complex problems spaces objectively from multiple points of view
  • Ability to learn in a fast paced environment
  • General familiarity with some of the technologies we use: Databricks, PySpark, Python
  • Linux proficiency, basic shell scripting and a solid grasp of systems level programming is a plus
  • Specific experience in or knowledge of financial data systems is a plus

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.

Required profile

Experience

Level of experience: Entry-level / graduate
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Communication
  • Problem Solving
  • Learning Agility

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