Data Engineer

A financial technology firm modernizing equity capital markets by connecting investors and underwriters via a neutral platform.
Data
Mid-Level Software Engineer
Remote
101 - 500 Employees
3+ years of experience
Finance

Description For Data Engineer

Capital Markets Gateway (CMG) is a pioneering fintech firm revolutionizing the equity capital markets (ECM) landscape. Founded in 2017, CMG's platform serves nearly 100 buy-side firms managing $20 trillion in AUM and 15 investment banks, providing integrated ECM data, analytics, and workflow efficiencies.

As a Data Engineer at CMG, you'll join a collaborative engineering team of domain experts who value modern technologies and best practices. The role focuses on building and maintaining scalable data pipelines and architecture, working with cutting-edge data technologies to solve complex investment finance problems. You'll be instrumental in enabling clients to access mission-critical data and analytics for global capital markets decisions.

The position requires strong technical expertise in Python, SQL, and data engineering practices, with experience in data modeling and warehousing concepts. The ideal candidate will have a computer science background, excellent communication skills, and the ability to work in US time zones. We offer a comprehensive benefits package including technical resources, professional development opportunities, and flexible working arrangements.

CMG values innovation with purpose, focuses on outcomes, and believes in diverse and inclusive teams. We maintain a culture of humility and candor while prioritizing customer success. This role offers the opportunity to work with cutting-edge financial technology while contributing to the modernization of capital markets infrastructure.

Last updated 13 minutes ago

Responsibilities For Data Engineer

  • Exploring and loading data sets from market data sources
  • Transforming, reconciling, and integrating source data into consumable data products
  • Contributing to scalable data architecture development
  • Contributing to design and implementation of new data systems
  • Advancing data engineering practices to automate processing, testing, and quality checks

Requirements For Data Engineer

Python
Kubernetes
  • Must be based in Buenos Aires, Argentina
  • English level - C1 or C2
  • Higher education degree in Computer Science or related field preferred
  • Understanding of data modeling, data lakes, and data warehousing concepts
  • Deep knowledge of SQL and relational databases
  • Experience using Python and shell script
  • Strong analytical skills
  • Strong communication and collaboration skills
  • Ability to work in US time zone

Benefits For Data Engineer

Education Budget
  • 15 days of vacation
  • Gym membership contribution
  • Language courses
  • Tech courses and conferences
  • Top-of-the-line MacBook
  • Potential trips to the USA
  • Company team-building events
  • Flexible working hours
  • Work from home option

Interested in this job?

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