Senior Data Engineer



51-200 employees

Electronic trading platform for various bond markets

Data & Analytics
Financial Services

$175,000 - $225,000

Fully paid medical, dental, and vision coverage, team-oriented and collaborative company culture


New York, NY, USA

Required Skills
Apache Kafka
Data Analysis
Google Cloud Platform
  • 5-7+ years of experience in data engineering or a related field
  • Proven experience designing, building, and maintaining data pipelines and platforms
  • Strong understanding of data modeling and analytics concepts
  • Expertise in SQL and experience with relational databases (Postgres preferred)
  • Experience with cloud data platforms like BigQuery and data warehousing technologies
  • Familiarity with data streaming technologies like Kafka and Debezium
  • Experience with data integration and ETL tools
  • Strong understanding of data security principles and best practices
  • Excellent communication, collaboration, and problem-solving skills
  • Ability to work independently and as part of a team in a fast-paced environment
  • Design, build, and maintain robust data pipelines and platforms using technologies like Postgres, BigQuery, Kafka, and Debezium
  • Provision and operate resources using both managed services in AWS/GCP and in Kubernetes
  • Implement database migrations and manage schema evolution
  • Develop and optimize data ingestion processes
  • Design and implement data security measures
  • Manage infrastructure costs and resource utilization
  • Design and implement data models to effectively support various use cases
  • Analyze data to identify trends and insights
  • Collaborate with product and engineering teams to define data requirements and drive data-driven decision making
  • Develop and implement comprehensive monitoring and alerting systems for data infrastructure and applications using technologies like prometheus
  • Manage permissions to our data infrastructure balancing ease of use and principle of least privilege
  • Investigate and troubleshoot data anomalies and issues
  • Work with support teams to resolve data-related incidents
  • Develop and maintain internal tools to streamline data access and analysis for all teams
  • Create and deliver training materials and workshops to educate developers and other stakeholders on data best practices and tools
  • Work effectively with developers, product teams, compliance, and other stakeholders to understand their data needs and deliver solutions
  • Communicate technical concepts effectively to both technical and non-technical audiences
  • Review code and provide constructive feedback
  • Be opinionated and lead design discussions

Trumid stands out in the financial technology sector with its specialized focus on US dollar-denominated bonds, offering a unique blend of agile technology and market expertise to optimize the credit trading experience. The company's platform provides a personalized user experience through customizable market data feeds and flexible protocols, backed by quantitative models to ensure quality liquidity. Moreover, Trumid's platform offers a holistic view of the market, with powerful analytics tools for efficient trade execution, and the flexibility for clients to choose how and what they want to trade, setting it apart from competitors.

Company Stage

Series E

Total Funding



New York, New York



Growth & Insights

6 month growth


1 year growth


2 year growth