Monday - Friday 8am - 5pm
Position open to remote: Yes
Who We Are:
Relentlessly Delivering Big Ideas. U.S. Xpress is one of the nation’s largest asset-based trucking companies. But the most valuable asset we offer isn’t tractors, trailers, or even our exclusive, cutting-edge technology. It’s the collective brainpower of thousands of visionaries and problem-solvers. Together, we are revolutionizing the transportation industry by providing innovative, custom solutions. And, here, we believe in the sanctity of a promise—both to our customers, and our people. When we focus our varied talents on reshaping the future of transportation, that’s what we call the POWER OF U.S.
Why U.S. Xpress?
Right Role. Right Tools. Right People. We invest in our talent starting on day one. You will be provided with personal and professional development opportunities that complement your interests and encourage you to build a career you’re passionate about. Whether it is employee stock options, profit-sharing, 401K, professional development, or our competitive pay, we help prepare you for the future. Be part of an organization that values out-of-the-box thinking and rewards employees for going above and beyond. Curious about the other benefits of working with us? Check out other perks below!
- Vacation, Sick, Personal Time
- Paid Holidays
- Paid Parental Leave
- Medical, Dental and Vision
What You’ll Do:
Build tools that make data available to company’s freight platform and future-proof architecture and implementations to scale for years to come. Proficiently develop data pipelines, packages, stored procedures, functions, triggers, and complex SQL statements applying experience with ETL tools and cloud (AWS/Azure/Google). Work with multiple data sources and data types (structured/semi-structured/unstructured) and assemble complex and large data sets for the business. Partner with leadership, engineers, program managers and data scientists to understand data needs. Design, build and launch efficient and reliable data pipelines to move and transform data; find trends in data and build algorithms to optimize data delivery. Write high quality distributed system software using programming in Java Python. Use data engineering best practices to ensure a high standard of quality for all the team deliverables. Partner with Data Owners to design solutions that align to data governance and data management principles best practices.
What We’re Looking for:
MINIMUM REQUIREMENTS: Bachelor’s degree in Mathematics, Economics, Business, Computer Science, Information Systems or a related field of study plus five (5) years of progressive software or data engineering experience, including experience with ETL tools and technologies, such as FiveTran, dbt, Apache Druid, Apache Cassandra, Event Sourcing, Python, Java, Scala, SSIS, Actor Systems or AKKA, Cloud (AWS/Azure/Google); three (3) years of experience with Kafka, Elasticsearch, Snowflake, RDBMS and/or NoSQL.
ALTERNATE REQUIREMENTS: Master’s degree in Mathematics, Economics, Business, Computer Science, Information Systems or a related field of study plus two (2) years of software or data engineering experience, including experience with ETL tools and technologies, such as FiveTran, dbt, Apache Druid, Apache Cassandra, Event Sourcing, Python, Java, Scala, SSIS, Actor Systems or AKKA, Cloud (AWS/Azure/Google); two (2) years of experience with Kafka, Elasticsearch, Snowflake, RDBMS and/or NoSQL.
SPECIAL REQUIREMENTS: Must pass technical interview
Work Environment / Physical Requirements – Normal office settings.
This job description indicates the general nature and level of work expected for this position. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. Employees performing this job may be asked to perform other duties as required and the responsibilities of the position may change. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions.
U.S. Xpress is an Equal Opportunity Employer committed to creating and maintaining a diverse workforce.