Fintech Analytics Developer

2 weeks ago


Chicago, Illinois, United States Edge Full time

Data Engineering at Edge: Where Technology Meets Innovation

We're Edge, a fintech leader pushing the boundaries of credit access. Our innovative risk analytics platform utilizes alternative data to deliver a more comprehensive financial picture.

To accelerate our growth, we need a skilled Data Engineer to join our Data Science & Analytics team. In this role, you'll play a vital part in shaping the backbone of our high-performance data services.

Job Responsibilities:

  • Work collaboratively with data scientists and engineers to develop high-performance data analysis services.
  • Contribute to the deployment and iterative improvement of our analytics services.
  • Participate in multiple projects simultaneously, adapting to priorities and exceling in a dynamic environment.
  • Offer technical expertise and recommendations in evaluating new software projects and initiatives.

Essential Qualifications:

  • 2+ Years of hands-on experience in a Data Engineering or Software Engineering role.
  • Proficiency in Python and its data ecosystem (Pandas, NumPy, etc.).
  • Hands-on experience with Kubernetes & Docker for containerization and orchestration.
  • Strong understanding of distributed and parallel computing principles in data engineering.
  • Experience with cloud services, especially AWS (e.g., S3, RDS, EKS).
  • Experience designing and consuming gRPC and REST.
  • Experience with relational databases (Postgres or similar) and proficiency in SQL.
  • Understanding of machine learning workflows and familiarity with ML Ops tools and practices.
  • Experience with version control (GitHub) and CI/CD pipelines for data applications.
  • Strong problem-solving skills and ability to debug and optimize complex workflows.

Our Offerings:

  • $160,000 - $220,000 salary range.
  • Thriving startup culture.
  • Opportunities for growth and development.
  • Chance to make a significant impact.
  • Equal opportunity employer.


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