Data Engineer

New York, NY, United States

Alloy APIs


Role Location

  • New York, NY, United States

Employees

26 - 50 people

Address

41 Elizabeth St Ste 501
New York, NY, 10013, US

Tech Stack

  • Node.js
  • React
  • Python
  • R
  • Django
  • PostgreSQL
  • Elastic Search

Role Description

Alloy is where you belong!

We’re the leading provider of digital identity management and transaction fraud detection. We support innovative FinTech companies and top tier banks to manage KYC, AML, and other components of client onboarding. Alloy’s API enables its clients to access over 50 third party data sources in real-time to improve decision-making and streamline client experiences. We're backed by venture capital firms that have taken countless companies to IPO like Bessemer Venture Partners, Primary Venture Partners, Eniac Ventures, and others. We are well-positioned to bring on incredibly talented individuals who can help take us to the next level!

Why we’re hiring

Alloy is rapidly growing and seeking a Data Engineer. As a member of the Data team, you’ll help make our products more intelligent, and help our customers defeat fraud rings and financial criminals. You’ll get to work with a modern tech and data science stack - Postgres, Python (pandas, scikit-learn, jupyter), AWS, Node, React - that values collaboration, working reproducibly, and the craft of good software engineering practices. You’ll be a valued member of a friendly and experienced engineering team, working closely with backend and frontend engineers. Our data team's culture values curiosity, learning, connecting data to Alloy's strategy, open source tools, rigor, and a spirit of relentless resourcefulness.

If you are analytical, good at tackling big, complex questions, and like the pace and career growth opportunities afforded by working at a fast-growing early stage startup, then we'd like to meet you!

What you’ll be doing

As a Data Engineer at Alloy, you'll:

-Map client data from different financial processing systems to canonical data model -Organizing ETL codebase to be easily implement new clients with financial processing systems we have seen before focusing on templating and reusability -Building testing -Help define data models, i.e., assessing data schemas, metadata, and schema migrations -Work closely with engineering team and other data team members -Work with clients to understand their needs -Provide architecture suggestions for new infrastructure as product scales, focusing on faster implementation and benchmarking/improving ETL run times -Data validation- validating data types, looking for missingness, and identifying key relationships -Monitoring / alerting -Work with engineering to resolve technical challenges of DB inserts or batch jobs

Who we’re looking for

Reporting to the Director of Data, a successful applicant will likely have these skills.

Required: -Strong software engineering skills -SQL / relational databases -Python (pandas, numpy, boto) -AWS S3, Lambda

Preferred: -Airflow -Postgres experience

Nice to have: -Data warehousing experience -BI experience, e.g. with Looker or Sisense -Experience with streaming data -API experience (postman, python requests) -Data science / machine learning experience is a plus -Finance experience -Startup experience -Majored in Computer Science, Statistics, Mathematics, Data Science, or Machine Learning

In addition to prior experience, we strongly value candidates who are curious, humble, quick learners, and strong communicators. Having strong organizational and prioritization skills will help you navigate the changes in company structure, product strategy and mix of job responsibilities that are inherent to a growing startup.

We are a lean team, so your impact will be felt immediately. If this all sounds like a good fit for you, why not join us?

About Alloy APIs

Alloy builds identity verification APIs to protect companies and consumers from identity thieves.

Our product allows fintech companies (checking accounts, savings accounts, credit cards, investment accounts, etc) to use data to verify the identities of customers signing up for their accounts online. We provide data source integrations, a decision engine, and a robust set of analytics and reporting dashboards to decrease fraud by 50% while increasing the number of approvals by 30%.

Company Culture

We're a people-first culture. We believe that you should be able to bring your best self to work so you can do your best work.

Interested in this role?
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