Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,229 postings in the last year. Stated ranges, not salaries paid.
Data Engineering Intern - Summer 2027
New York, NY
Actively hiring, first seen by us 4 hours ago- Pay
USD 40 · BasePeriod not stated — pay source
Base Salary Range $40—$40 USD Our Values
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- New graduates
- For current students
Currently enrolled in a university or other post-secondary program
- Work authorization
- Must already have the right to work in the US
Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the US on their first day of employment
What you’ll work on
Full postingSupport daily maintenance of portfolio data feeds and reconciliation workflows
Work on tooling that improves pipeline reliability, data quality and efficiency
Contribute to the next-generation data pipeline on well-scoped deliverables
Write well-tested data pipeline code and contribute to process improvements
Produce a retrospective and demo your summer project to an internal audience
From the employer’s posting
Support day-to-day maintenance of portfolio data feeds and reconciliation workflows
Work on tooling improvements that increase pipeline reliability, data quality, and operational efficiency
Contribute to the next-generation data pipeline on well-scoped deliverables
Write well-tested data pipeline code and contribute to process improvements
Produce a retrospective and demonstrate your summer project to an internal audience
What you’ll bring
All qualificationsCore experience
- Proficiency in Python and SQL
- Ability to work collaboratively in a team-oriented environment
Preferred experience
- Familiarity with data engineering tools and concepts such as ETL pipelines, data warehousing, or Databricks is a plus
Qualification wording
Proficiency in Python and SQL
Ability to work collaboratively in a team-oriented environment
Familiarity with data engineering tools and concepts such as ETL pipelines, data warehousing, or Databricks is a plus
Education & alternatives
- Currently enrolled in a university or other post-secondary program - Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field (penultimate or final year ideal, though all years are welcome to apply) - Able to commit to the full 12-week program, June 7th, 2027 - August 27th, 2027
About Addepar
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 11, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 55.
At Addepar, jobs usually come down by about day 57.
From 12,958 similar postings that came down, and 51 of Addepar’s. Coming down is not always a hire.
Addepar is hiring
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
- 4% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
Where the posting names them
- Able to commit to the full 12-week program, June 7th, 2027 - August 27th, 2027 - Proficiency in Python and SQL - Strong problem-solving skills and attention to data quality
- Ability to work collaboratively in a team-oriented environment - Familiarity with data engineering tools and concepts such as ETL pipelines, data warehousing, or Databricks is a plus 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 this role within the United States.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Who We Are
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.
The Program
We are currently seeking a Data Engineering Intern to join our Portfolio Data Engineering team in New York City for Summer 2027.
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!
Data is fundamental to everything Addepar does. Our Portfolio Data Engineering team builds and maintains the data pipelines that bring portfolio data into Addepar's platform for our Enterprise and Hyperscaler clients. With enterprise project volume expected to grow significantly over the next year, we are looking for a Data Engineering Intern to help keep those pipelines running smoothly while improving the tooling behind them. If you are excited about working with complex financial data at scale and building more reliable, efficient data pipelines, we want to hear from you!
As a Data Engineering Intern, you will split your time between supporting day-to-day feed maintenance and working on tooling improvements, contributing to the next-generation data pipeline while gaining significant exposure to production data systems.
This role is based full-time in our New York office and requires in-person attendance for the duration of the internship. Dates are currently set for June - August 2027 but please advise your recruiter if you have any timing constraints. Relocation assistance is not offered. Please let us know if you need any adjustments to take part in the application process or the internship.
Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.
Applications are reviewed on a rolling basis between November 2026 and March 2027. We encourage you to apply early, as we may close the posting once the program is filled.
What You'll Do
- Support day-to-day maintenance of portfolio data feeds and reconciliation workflows for Enterprise and Hyperscaler clients
- Work on tooling improvements that increase pipeline reliability, data quality, and operational efficiency
- Contribute to the next-generation data pipeline on well-scoped deliverables
- Write well-tested data pipeline code and contribute to process improvements
- Collaborate with the Portfolio Data Engineering team and learn from senior engineers
- Learn and demonstrate data engineering standard processes and principles
- Produce a retrospective and demonstrate your summer project to an internal audience
Who You Are
- Currently enrolled in a university or other post-secondary program
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related field (penultimate or final year ideal, though all years are welcome to apply)
- Able to commit to the full 12-week program, June 7th, 2027 - August 27th, 2027
- Proficiency in Python and SQL
- Strong problem-solving skills and attention to data quality
- Ability to work collaboratively in a team-oriented environment
- Familiarity with data engineering tools and concepts such as ETL pipelines, data warehousing, or Databricks is a plus
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 this role within the United States.
Compensation for this role includes 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.
Base Salary Range
$40—$40 USD
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 ta-operations@addepar.com.
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- Pay
Base Salary Range $40—$40 USD Our Values
- Location & working pattern
New York, NY
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 ta-operations@addepar.com.
- Work authorization
This role is based full-time in our New York office and requires in-person attendance for the duration of the internship. Dates are currently set for June - August 2027 but please advise your recruiter if you have any timing constraints. Relocation assistance is not offered. Please let us know if you need any adjustments to take part in the application process or the internship. Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment. Applications are reviewed on a rolling basis between November 2026 and March 2027. We encourage you to apply early, as we may close the posting once the program is filled.