Data Engineer

Posted 24 Days Ago
New York, NY
Mid level
Cloud • Enterprise Web • Fintech • Software
The Role
The Data Engineer will work with Data Services and DevOps teams to build and enhance the Data Management Platform, develop data processing pipelines, and ensure data reliability and quality in financial services. Tasks include building automation, improving data workflows, and maintaining client data acquisition processes.
Summary Generated by Built In

T-REX is on a mission to empower responsible finance. We are revolutionizing the investment lifecycle of complex assets through increased data transparency, enhanced analytical capability, and streamlined collaboration. Our solutions combine SaaS technology, big data management, and asset class expertise to foster improved investment decision-making across alternative financial markets. T-REX’s managed data service and software platform bridge the gap between asset originators and investors, eliminating manual processes and automating workflow. T-REX solutions help our clients to mitigate risk, improve efficiency and drive greater performance across their investment process.

Join T-REX as we help unlock liquidity across the financial markets, responsibly and sustainably with the transformative power of fintech.  We are looking for new team members who share our passion for innovation and our entrepreneurial, collaborative, and results-driven approach.

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DATA ENGINEER

T-REX is seeking an experienced Data Engineer to work closely with our Data Services and DevOps Teams to contribute to the build out of our Data Management Platform and associated services. The Data Engineering team is in charge of building the automation infrastructure and workflow to extract, transform, and ingest large datasets from a variety of sources and ensuring the system is robust and can scale to our growth

Our ideal candidate has:

  • A genuine interest in back-end/data development and the requisite tools, methods, and best practices
  • Demonstrable experience working on mission critical ETL processes in the Financial Services industry
  • Ability to develop, create, test, and maintain data processing pipelines
  • Experience in recommending and implementing ways to improve data reliability, efficiency and quality
  • Experience in managing and supporting the acquisition of client and 3rd party data

What you’ll do:  

As part of our Data Engineering team you will have an important role in the development and operation of our strategic Performance Data Service offering. You will contribute to building out and continuously enhance the service and platform, while working with the Client Success team to align with client requirements.

  • Work in a distributed, highly collaborative, growing team 
  • Build tooling and automation around data pipelines that improve the scalability, efficiency, quality control, and resiliency of our data platform
  • Look for ways to improve stages in our data automation workflow and then implement those changes
  • Provide the highest quality data for our users by continuously defining, developing and adhering to a data validation process from ingestion to end user workflows
  • Ensure the efficiency and effectiveness of our data management capabilities and processes are world class and always improving
  • Stay informed and up-to-date with industry standards and trends; evaluate new tools and technologies that can improve the efficiency and quality of the data engineering work

What we’re looking for

Required:

  • 3+ years of Data Engineering experience working on business critical, production level, data pipelines
  • Proficient in Python, Pandas, Numpy, and other standard libraries to support data cleaning/translation.
  • Experience with relational/non-relational querying languages
  • Experience with Git and team based version control concepts.
  • Strong domain knowledge of data warehousing principles, tools and technologies
  • Experience working with APIs
  • Experience working in the financial markets
  • Exceptional written and verbal communication skills

Preferred:

  • Experience extracting from and working with Excel, JSON, YAML, and other industry standard file formats.
  • Experience working with Structured Finance products and/or in the Structured Finance industry or related field
  • Experience working with any of the following technologies: Airflow,, AWS, ElasticSearch, Postgres.

 

What it’s like working at T-REX: 

You’re going to be challenged: Building an inter-disciplinary SaaS platform that combines deep knowledge from both the financial and technology industries isn’t easy! 

You’re going to make an impact: T-REX offers you the opportunity to have a deep impact on our growth, product, and team. You’ll be able to see the direct impact of your work with our clients.

You’re an asset we’re going to invest in: We believe in investing in our people so we have generous tuition reimbursement and wherever we can we promote from within.

You’re going to have fun: You’ll get to work with a team of diverse people; we’re an international team who loves everything from boardgames, Pi Day baking competitions and T-REX Trivia Nights.

 

T-REX - People Hiring People:

At T-REX, we are committed to equal employment opportunity regardless of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression. We are proud of our diversity and strive to reflect the society we are a part of. T-REX is a team of people who love to put in good work and have fun together.

Join us on our mission to Empower Responsible Finance and have fun doing it!

Top Skills

Python
The Company
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