We are unveiling the intricacies of the largest financial market in the world: structured finance. This $16+ trillion market serves as the foundation for essential activities that promote financial freedom, such as consolidating credit card debt, refinancing student loans, purchasing homes, and launching small businesses.
Our data analytics platform delivers exceptional transparency into investment performance and risk for lenders and Wall Street investors involved in structured products. As a data-driven organization, we effectively manage critical loan data and develop modern analytical tools that empower strategic decision-making for responsible lending. In essence, we are committed to preventing a recurrence of the 2008 global financial crisis by providing the data and tools necessary for informed, data-driven decisions, contributing to a safer financial landscape for everyone.
- Primary Team Tech Stack: Scala, JavaScript, TypeScript, React, Web components, FrontEnd microservices and GCP
- 6 hours overlap with EST.
- Agile Methodology.
- Long term (12+ months)
- 100 % Remote.
- Full-Time Job.
- Excellent communication skills in English are required.
- Start Date: ASAP
Interview stages:
1 – HR Interview
2 – Technical Check
3 – Final interview with the Technical Manager & Hiring Manager
You are:
Experienced in building complex data pipelines. You have 3+ years of experience working
on production ETL/ELT pipelines. You are comfortable wrangling messy data and know how to
scale pipelines to handle multiple potential points of failure.
Proficient with Apache Spark. You have 2+ years of experience writing and debugging Spark
pipelines using Python or Scala (Scala preferred). You understand the core concepts of
parallelism and cluster architecture, and have experience debugging jobs running on a
managed service like Dataproc, EMR or Databricks.
Skilled in object-oriented programming. You’re comfortable writing and debugging object-
oriented code and can clearly explain basic OOP concepts.
An excellent communicator. You have strong English proficiency and are comfortable taking
requests from internal and external clients and translating them into the required technical task.
You enjoy collaborating with analysts and other internal teams to proactively resolve their data
issues and build tools that help make their processes more scalable and efficient.
- Detail-oriented, proactive, and self-driven, with a focus on verifying fixes, improving systems iteratively, and preventing production issues.
Proactively troubleshoot end to end data pipelines.
Ensure that data flows through our systems to provide timely and accurate updates for more than 400 customers. You will build
and update code containing complex business logic to standardize and transform lending data ,
as well as investigate failures in production pipelines.
Ensure clients can seamlessly connect their data to our company. Help automate data ingestion for
new clients or new data sources so that information flows through our systems with no
manual intervention.
Collaborate with internal analyst teams. Translate business logic provided by analysts into
scalable, high-performance Scala code running on Apache Spark. Partner with analysts to
investigate and resolve client-facing data issues.
Enhance our data pipeline tooling. Develop new features to improve the performance and
scalability of our existing pipelines. Work with a cutting-edge tech stack including BigQuery,
Apache Spark, Airflow, and dbt.
- Work your way – Enjoy the freedom to work from anywhere, with flexible hours that match your natural rhythm.
- Plenty of time to recharge – Take 15 paid vacation days, 10 additional unpaid days if needed, plus all national holidays.
- Meaningful, long-term projects – Dive into exciting 1–5+ year projects using the latest in AI, cloud, blockchain, and more.
- Support beyond the job – We help cover things like advanced language courses, gym memberships, and mentorship programs to help you grow.
- Work with global clients – Collaborate directly with international teams to create real impact.
- Make extra cash – Earn bonuses for referring great people or bringing in new business opportunities.
- Great people, no micromanagement – Join a supportive, results-focused team where you’re trusted to do your best work.
