Data Engineer (Hybrid) - Fixed Income Real-Time Pipelines

10xTalents; Newark (NJ); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading financial services consultancy seeks an experienced Data Engineer to drive innovation in Fixed Income Capital Markets. Candidates should have strong skills in Python, containerization technologies like ECS or Docker, and experience with streaming systems such as Kafka or Kinesis. This role combines technical expertise with collaboration in a hybrid work environment, requiring excellent communication skills. If you thrive in a fast-paced setting and are passionate about leveraging technologies in finance, we invite you to apply.

Qualifications

• Bachelor's or Master's degree in a relevant field.
• Strong programming skills in Python for API development.
• Experience with containerization technologies like ECS or Docker.
• Familiarity with Snowflake Snowpark for data tasks is a plus.
• Proficiency in Kafka or Kinesis for streaming data.
• Solid understanding of capital markets, especially Fixed Income.
• Experience with cloud platforms is advantageous.
• Strong problem-solving skills and attention to detail.

Responsibilities

• Develop scalable APIs and data pipelines using Python.
• Optimize containerized applications with ECS or Docker.
• Implement real-time data streaming solutions.
• Collaborate with teams to maintain data quality and scalability.
• Identify opportunities for process automation and improvement.
• Communicate technical concepts to non-technical stakeholders.

Skills

Python programming

Containerization (ECS, Docker)

Streaming systems (Kafka, Kinesis)

Data manipulation

Problem-solving

Education

Bachelor's or Master's degree in Computer Science, Engineering, Finance, or related field

Tools

Snowflake Snowpark

AWS

Azure

GCP

Job description

A leading financial services consultancy seeks an experienced Data Engineer to drive innovation in Fixed Income Capital Markets. Candidates should have strong skills in Python, containerization technologies like ECS or Docker, and experience with streaming systems such as Kafka or Kinesis. This role combines technical expertise with collaboration in a hybrid work environment, requiring excellent communication skills. If you thrive in a fast-paced setting and are passionate about leveraging technologies in finance, we invite you to apply.