Senior Data Engineer, New York

Position Overview

• Location Type: Not specified
• Employment Type: Full-time
• Salary: $140,000 - $210,000 (Base salary range, dependent on experience and level)

The Role: We are seeking a skilled and experienced Data Engineer to join our innovative team. The ideal candidate will possess expertise in data engineering technologies, experience with market and credit counterparty risk platforms, and a solid understanding of the financial services sector. If you thrive in a collaborative, agile environment and excel at building scalable, high-performance data platforms, we’d love to hear from you.

Responsibilities

• Analyze, design, code, test, configure, and modify software for the functional delivery of platforms and solutions using programming languages and development methodologies.
• Design, develop, test, debug, and implement platforms, solutions, software tools, and utilities to ensure acceptable performance and service levels.
• Build and manage automated delivery pipelines for platforms and solutions using source control, infrastructure as code, and continuous integration practices.
• Implement monitoring, alerting, logging, and tracing to ensure the durability, availability, and performance of platforms and solutions.
• Collaborate with the Data Warehouse Architect to ensure successful platform strategies.
• Design and optimize scalable data pipelines using technologies like Airflow, Snowflake, and AWS cloud services.
• Work closely with stakeholders to ensure platforms meet both business and technical requirements.
• Produce technical documentation, including testing, training, and delivery artifacts.

Requirements

• Experience: 8+ years of experience delivering data-centric platforms with large datasets, fast SLAs, and high data quality standards.
• Market & Credit Counterparty Risk Platforms: Proven experience with market and credit counterparty risk platforms (mandatory).
• Programming Skills: Advanced proficiency in Python.
• Cloud Technologies: Strong experience with AWS, Airflow, and Snowflake.
• Agile Environment: Comfortable working in an agile delivery environment.
• CI/CD: Self-sufficient in a CI/CD environment, with hands-on experience automating deployments.
• Code Quality: Proven ability to contribute as an individual, including reviewing pull requests and ensuring quality code.
• Troubleshooting: Experience troubleshooting and debugging simple to complex issues.
• Interpersonal Skills: Strong interpersonal and organizational skills, with the ability to work collaboratively.

Company Information

Lab49/ION is committed to maintaining a supportive and inclusive environment for people with diverse backgrounds and experiences. We respect the varied identities, abilities, cultures, and traditions of the i