Engineer, Data II

U.S. Xpress Enterprises, Inc.•Chattanooga, TN

6d•Remote

About The Position

The Data Engineer II works with new and legacy systems to lead the way for high-quality decisions. The Engineer II contributes to the design and implementation of both relational and NoSQL data repositories, focusing on optimizing data access and ensuring efficient data storage. This role works independently on smaller projects and assists senior engineers on more complex tasks.

Requirements

3+ years of experience in data engineering or a related role required
Experience with data modeling, ETL processes, and data warehousing
Experience with a programming language (Python, Java, C#)
Proficiency in SQL and experience with at least one NoSQL database, specifically MongoDB
Understanding indexing, partitioning, and data sharding
Knowledge of data security and compliance best practices
Strong SQL skills and experience with data processing frameworks
Ability to design and optimize database schemas and queries
Adept at assessing organizational dynamics and managing change
Works quickly and efficiently. Able to test solutions, learn, and iterate quickly
Proactive and pragmatic problem solver
Communicates effectively across multiple mediums
Bachelor’s degree in Computer Science, Information Systems, or related field required

Nice To Haves

Transportation, Logistics, and/or Tech industry experience a plus
Familiarity with message brokers such as Kafka or RabbitMQ, and relational databases like Amazon RDS is a plus
Experience with MongoDB and cloud platforms (e.g., AWS, Azure, GCP) is beneficial
Relevant certifications (MongoDB Certified Developer, Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, etc.) preferred
Master’s degree preferred

Responsibilities

Design and implement data models and schemas for relational and NoSQL databases, with a focus on MongoDB.
Develop and optimize SQL queries and stored procedures.
Implement data transformation and processing pipelines.
Collaborate with development teams to ensure data solutions meet application requirements.
Conduct data analysis and performance tuning to optimize database systems.
Assist in mentoring junior engineers and contribute to best practices.