Data Engineer (Remote)

Job Posted 3 Months Ago Posted 3 Months Ago
Hiring Remotely in USA
Remote
100K-130K
Mid level
Agency
The Role
The Data Engineer will develop scalable Python applications, collaborate with cross-functional teams, and contribute to software architecture while ensuring code quality and maintaining timely issue resolution.
Summary Generated by Built In

Position Title: Data Engineer (remote)

Entity: KBRA Holdings

Employment Type: Full-Time

Location: NY, PA or Remote only for those located in the following states:  (CA, CO, DC, FL, IL, MD, NJ, MA,SC, TX, VA)

Summary/Overview:

We are seeking a talented and motivated Mid-Level Data Engineer to join our development team. The ideal candidate will have a strong background in Python programming, experience building frontends in Python, and a passion for solving complex problems. You will work closely with cross-functional teams to design, develop, and maintain high-quality software solutions.

Job Responsibilities:

  • Develop, test, and maintain scalable Python applications.
  • Collaborate with product managers, designers, and other engineers to deliver high-quality software.
  • Write clean, efficient, and reusable code following best practices.
  • Participate in code reviews to ensure code quality and share knowledge with the team.
  • Troubleshoot and debug issues in a timely manner.
  • Contribute to the design and architecture of new features and systems.
  • Stay up-to-date with the latest industry trends and technologies.

Successful candidates will possess the following:

Required:

  • 3+ years of professional experience in Python development.
  • Strong understanding of the Python programming language.
  • Experience with web frameworks such as Django, Flask, and/or Dash.
  • Knowledge of relational databases (Snowflake preferred).
  • Experience with version control systems (e.g., Git).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork skills.

Nice to Have:

  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Experience with Airflow.
  • Experience with Mongo DB.
  • Experience with Salesforce.
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience with RESTful APIs and microservices architecture.
  • Understanding of Agile methodologies.

Salary Range:

The anticipated annual base salary range for this full-time position is $100,000 to $130,000. Offer amounts are determined by factors such as experience, skills, geography, and other job-related factors.

Benefits:

  • Competitive benefits and paid time off
  • Paid family and disability leave
  • 401(k) plan, including employer match (100% vested)
  • Educational and professional development financial assistance
  • Employee referral bonus program

About Us:

KBRA is a full-service credit rating agency registered in the U.S., the EU and the UK, and is designated to provide structured finance ratings in Canada. KBRA’s ratings can be used by investors for regulatory capital purposes in multiple jurisdictions.

More Info:

KBRA encourages applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, citizenship, disability, and veteran status or any other basis prohibited by federal, state or local law.

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Top Skills

Airflow
AWS
Azure
Ci/Cd
Dash
Django
Docker
Flask
Git
GCP
Kubernetes
Mongo Db
Python
Salesforce
Snowflake
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The Company
HQ: New York, NY
530 Employees
On-site Workplace
Year Founded: 2010

What We Do

KBRA was established in 2010 in an effort to restore trust in credit ratings by creating new standards for assessing risk and by offering accurate and transparent ratings.

KBRA provides the investment community with an alternative solution by delivering timely and in-depth research.

KBRA is a full service global rating agency whose mission is to set a standard of excellence and integrity.

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