Senior Data Engineer

Santa Clara, CA; San Francisco, CA; Seattle, WA; New York City, NY

Applications have closed

The Company You’ll Join

Carta is a platform that helps people manage equity, build businesses, and invest in the companies of tomorrow. Our mission is to create more owners. 

Carta is trusted by more than 30,000 companies and over half a million employees in nearly 150 countries to manage cap tables, compensation, and valuations. Carta also supports over 5,000 funds representing over $100B in assets under administration with their venture capital solutions. Carta’s liquidity solutions have returned $13B to shareholders in secondary transactions. Today Carta’s platform manages over two trillion dollars in equity for nearly two million people globally. Companies and funds like Canva, Tribe, and Pipe build their businesses on Carta. 

The company has been included on the Forbes World’s Best Cloud Companies, Fast Company's Most Innovative list, and Inc.’s Fastest-Growing Private Companies. We’ve also been recognized as a 2023 Built In Best Place to Work in the U.S. and a Muse VIBE Award winner in the Vacation and Time Off category.

For more information about our offices and culture, check out our Carta careers page.

The Team You’ll Work With

The Data Engineering team is responsible for designing and maintaining Carta's data and analytics infrastructure. Our scope is broad and includes building data pipelines, leading end-to-end projects spanning data modeling and visualization, and ensuring the smooth operation of our data infrastructure, which is used by hundreds of Carta employees across business units, R&D, and Data Science and Machine Learning teams. Read our team’s charter here.

The Data Engineering team is an integral part of the broader Data Pillar alongside Analytics Engineering, Data Science, Machine Learning, and the Carta Documents Service teams. We’re a unique and passionate group of data engineers, data scientists, machine learning engineers, and software engineers united by Carta’s mission to create more owners.

The Problems You’ll Solve

As a member of this team, you will be responsible for operating and up-leveling our data and analytics infrastructure. You will proactively identify and lead key infrastructure projects to  improve stability, observability, and automation. You will also build critical data pipelines that pull in data from external and internal sources into our data warehouse, and share best practices on pipeline observability and developer experience. Some examples include:

  • Building resilient data pipelines based on internal and external data sources.
  • Leading infrastructure projects such as migrations, upgrades, and automation.
  • Partnering with cross-functional data teams on larger data pillar initiatives.
  • Proactively identifying and owning infrastructure improvement initiatives.
  • Developing data and analytics infrastructure best practices with the team.

About You

You have 5+ years of data engineering experience building complex data & analytics infrastructure that scales efficiently. You know what it takes to build end-to-end data pipelines, possess strong technical skills and enjoy working with various stakeholders across a fast-growing organization. You’re a strong communicator, embrace ambiguity, and get energized by building thoughtful solutions that move the needle on business goals. You’re not a bystander -- you’re an active participant and have strong opinions on how best-in-breed data and analytics infrastructure should be built. Some knowledge of and interest in financial technology or 3rd party integrations is great, but not required. Our data & analytics tech stack is Python, Airflow, dbt, Redshift, Looker hosted on AWS. Prior experience with these technologies is preferred.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: 

  •  $204,000 - $240,000 in [San Francisco, CA] 
  •  $204,000 - $240,000 in [Santa Clara, CA]
  •  $183,600 - $216,000 in [Seattle, WA] 
  •  $204,000 - $240,000 in [New York, NY]

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, connect with us via email at recruiting@carta.com. As a company, we value fairness, helpfulness, transparency, leadership and build our teams around these values. Check out our careers page to get to know us better as you think about your next step at Carta.

Interested in our candidate privacy policy? Find out more here.

Tags: Airflow AWS Data pipelines Data warehouse Engineering Looker Machine Learning Pipelines Privacy Python R R&D Redshift

Perks/benefits: Career development Competitive pay Equity

Region: North America
Country: United States
Job stats:  14  5  0
Category: Engineering Jobs

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