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For Alumni: Data Infrastructure Engineer

We are seeking an experienced data infrastructure engineer to join our team to make a significant impact on our profitable and growing business. Theorem's engineering team is one of the key drivers of our business and is led by a highly-technical, enterprise systems software engineer with a background in cloud computing and a PhD in computer science. Our small, collaborative, and nimble team of software engineers bring a diverse breadth of professional industry backgrounds, from developing high-performance trading systems to mobile platforms and educational software startups, and fintech firms.

What you'll do

  • You will understand our universe of data and organize it, enabling almost every department in the Firm to make effective decisions
  • You will be focused on automating data workflows—from data ingestion to data consumption
  • You will want and demand the highest quality of data by implementing processes, systems, and testing to ensure our Data Warehouse is the source of truth
  • You will collaborate with most, if not all groups, within the firm — finops, research, investor relations, management — to understand their data needs and build systems and tools for users to easily setup data pipelines for data consumption
  • You'll learn a tremendous amount about the credit markets, unsecured consumer lending, and marketplace lending platforms.
  • You'll have the opportunity to learn about business strategy and execution, platform partnerships, investment portfolio construction, research and engineering collaboration, and many other operational areas.
  • Your intellectual curiosity and hard work will be welcome contributions to our culture of knowledge sharing, transparency, and shared fun and achievement

What you bring to the team

  • 2+ years' aggregate experience as a Software Engineer as your full-time job, or spread out over 3-5 years of significant open source contributions as a student or data scientist
  • Demonstrated interest in data infrastructure, SQL, Kafka, streamlining ETL processes and software engineering involving data more generally
  • Willingness to code in Python. We welcome developers of any background, as long as you can pick up Python
  • Willingness to get your hands dirty, understand a new problem deeply, and build things from scratch when they don't already exist
  • Undergraduate degree in Computer Science, Computer Engineering or similar disciplines from rigorous academic institutions

None of the below are required, but any would be a huge plus:
  • Operational experience with automated monitoring and alerting, on-call rotation participation, incident response, and process automation
  • Experience coding in Python
  • Proficiency with statically-typed languages. Haskell (double points!), Rust, C++, Java, etc. We use mypy and are increasing the number of static languages we use
  • Experience with numpy/scipy/pandas
  • Experience with operating software on cloud platforms such as AWS or GCP
  • Familiarity with CNCF technologies, such as Kubernetes, Prometheus, and gRPC
  • Experience with data warehousing technologies such as Amazon Redshift and Google BigQuery
  • Experience in Finance or Fintech

We invite you to apply if you’re interested in working with collaborative, respectful, eagerly-nerdy individuals who delight in solving hard problems together. 

Theorem is an equal opportunity employer and we provide work authorization sponsorship.