Xometry is hiring a
Senior Data Engineer

Summary

The job is for a Data Engineer on a 1-year contract at Xometry, a digital marketplace connecting manufacturers with suppliers. The role involves designing, coding, testing, and releasing functionality to customers, collaborating with other engineers and product managers, taking operational responsibility for services owned by the team, assembling data sets, building analytics models, maintaining data pipelines, working with stakeholders, developing data models, designing and developing data transformation programs, creating software to automate bulk updates, deploying and releasing functionality through software integration, developing automated tests, and having 3+ years of prior experience in a fast-paced technical environment.

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
• 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
• Design and Develop data transformation program in Python and other programming languages based on use case and business requirements
• Create software to automate bulk updates to database objects
• Develop deployment and release of functionality through software integration to support devops and CI/CD pipelines
• Develop automated test to catch any issues during software deployments