Senior Data Engineer

Applecart was founded in recognition of a challenge: the most influential individuals – executives, investors, policymakers – have historically been the most difficult to access. Large organizations have often spent hundreds of millions of dollars to reach a handful of these people. Applecart’s technology is designed to level the playing field.

Applecart is the leading technology platform creating a new category of “Decision Maker Marketing”. From enterprise sales and corporate communications to government relations and employee engagement, the most sophisticated C-suite leaders use Applecart to manage their brand with business-critical decision makers such as policymakers, investors, CEOs, key employees, members of the media and more.

Traditional digital targeting technology can help organizations reach a mass audience, but it doesn’t really move the needle on critical outcomes. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart’s platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult. By making this data addressable in a privacy compliant way, Applecart enables clients to market directly to decision makers and those that matter most to them.

A few quick facts about us:

• Applecart’s platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier communications and public affairs firms like Teneo, Sard Verbinnen, and Weber Shandwick.
• Applecart is growing quickly—over the last several years we’ve averaged 122% revenue growth year-over-year.
• Our senior leadership team includes two members of the 2021 Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle’s online ad measurement platform, a former senior White House advisor, an early sales leader at Google and Twitter, and two of the Democratic Party’s most successful pollsters and strategists.
• Our investors include global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Endeavor CEO Ari Emanuel and Owl Capital Managing Partner Jennifer Fonstad serve on our board.
• Our work has been featured on Morning Joe on MSNBC, Bloomberg and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

As a Senior Data Engineer at Applecart, you will join a team of talented developers and architect the core infrastructure supporting our b2b data products. You will collaborate closely with application developers to align our data strategy with business requirements.

Who You Are

You are a software developer with broad experience but who specializes in data modeling, ETL processes and distributed computing. You work with data warehouses, data lakes and all flavors of databases and know how to orchestrate/automate jobs managing big data.

Qualifications:

• You have 4+ years of professional software development experience
• You have strong computer science fundamentals
• You have strong software development skills in a server-side language (Python, Java, Scala, etc...)
• You have designed relational schemas and worked with no-sql databases. You are intimate with data storage formats (JSON, Parquet, Avro, etc...)
• You have experience tuning/indexing databases including column-based systems
• You are a SQL expert
• You have worked with distributed computing frameworks such as Spark, Hadoop, etc…
• You provision your own cloud resources
• You have architected data infrastructure and ETL pipelines
• You are an excellent verbal and written communicator

Preferred Qualifications:

• Your language of choice is Python
• You have ample experience leveraging PySpark
• You have a background in data science and know entity resolution and graph theory
• You have an interest in application development
• You are most familiar with AWS

This is a hybrid role: Work from anywhere on Monday and Friday. In office Tuesday through Thursday. 

Compensation:

Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation.

The base salary range for this role is between $165,000.00-$210,000.00, based on the candidate's experience and skills relative to the requirements listed in the “Who You Are” section above. The salary range provided is exclusive of a significant amount of compensation that candidates will receive in the form of cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area.