Xometry is hiring a
Senior Data Engineer

Summary

The job is for a Senior Data Engineer on Xometry's Supplier Services team. The role involves designing, coding, testing, and releasing functionality to customers, collaborating with other engineers, maintaining data pipelines, and more. This is a 1-year contract.

Requirements

• 3+ years of prior experience as a software engineer or data engineer in a fast-paced, technical, problem-solving environment
• Cloud Data Warehouse experience - Redshift/Snowflake
• Event tracking experience - Segment, Tealium
• Design experience with Relational Model, Dimensional Model, 3NF, Data Vault
• Data modeling best practices for transactional and analytical processing
• SQL, Querying JSON and XML
• Knowledge and understanding of AWS data ecosystem like RDS, Data Migration Service, S3, Athena, Kinesis and others
• Experience with programming language like Python, JavaScript
• Experience working in and with DevOps/Site Reliability environment and teams
• Ability to work with APIs - Familiarity with technologies such as REST or GraphQL
• Ability to design and propose a solution with a variety of data formats and data stores
• Working knowledge of message queuing, stream processing, and highly scalable data stores
• Understanding of web application architectures like micro-services, domain driven design, service-oriented architecture

Responsibilities

• Active participation on a software development team designing, coding, testing, and releasing functionality to our customers
• Close collaboration with other engineers and product managers to become a valued member of an autonomous, cross-functional team
• Operational responsibility for the services that are owned by your team, potentially including taking part in on-call rotation
• Work in an environment that supports your individual growth
• Assemble data sets that meet functional / non-functional business requirements
• Build analytics models that utilize the data pipeline to provide actionable insights into key business performance metrics
• Maintain data pipelines and perform any changes or alterations as requested
• Work with stakeholders including the Product Managers, Data, and Design teams to assist with data-related technical issues and support their data needs
• Develop data models for analytics and data scientist team members that assist them in building and optimizing data
• Work with data and analytics experts to strive for greater functionality in our data systems