. . . create world-changing products using God-given talents . . .
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.
We are looking for a Senior Data Engineer to join our team.
- Primary Tech Stack: Scala, JavaScript, TypeScript, React, Web components, FrontEnd microservices and GCP
- 6 hours overlap with EST.
- Agile Methodology.
- Short term (2.5 to 3 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
5+ years of experience building and maintaining data pipeline infrastructure, with 2+ years in a Google Cloud Platform (GCP) environment.
Strong hands-on experience with BigQuery, Pub/Sub, Cloud Functions, and GCP command-line tools.
Proficient in Python and SQL for production-grade data ingestion, wrangling, and transformation; familiarity with Scala, Spark, or DBT is a plus.
Solid understanding of data models, advanced SQL, and CI/CD concepts for continuous integration and deployment of data workflows.
- Detail-oriented, proactive, and self-driven, with a focus on verifying fixes, improving systems iteratively, and preventing production issues.
Design and develop core components for a modern data lake architecture, ensuring scalability, reliability, and efficient data processing.
Quickly understand and integrate with existing legacy systems, identifying opportunities for modernization and seamless data flow.
Collaborate with senior engineers and leadership to define technical specifications, architecture, and implementation plans for the data lake ecosystem.
Contribute to the product roadmap, driving execution and alignment with organizational goals and long-term data strategy.
Build proofs of concept (POCs) using modern tools and technologies on top of the data lake, iterating rapidly to solve complex data and systems challenges.
Develop and scale prototypes into robust, production-ready systems that support large-scale data operations.
Work closely with cross-functional teams — including engineers, data scientists, and product managers — in a highly collaborative and agile environment.
Enhance and optimize data infrastructure, improving the performance, scalability, and reliability of existing data pipelines.
Leverage a cutting-edge technology stack that includes BigQuery, Apache Spark, Temporal, and DBT to deliver high-quality, performant data solutions.
- 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.
This flexibility allows developers…
- A better work-life balance
- Increased productivity
- The ability to work any time around the clock
- Reduction in commute time
- Design your ideal daily schedule.
- Build a career, not just a job.
- Work smarter, not longer.
- More time with family and friends.
