Engineer, Data II

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!

• Medical, Dental, and Vision
• Basic/Supplemental Life
• Accidental Death/Dismemberment
• Health Savings Accounts
• Flexible Savings Accounts
• Company Paid Holidays
• Paid Time Off
• 401k with Employer Matching Contribution
• Employee Stock Purchase Plan
• Paid Parental Leave
• Short Term Incentive Program
• Employee Assistance Program
• Pet Insurance

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 No

SQL 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.

• Design and implement data models and schemas for relational and No
  
  SQL databases, with a focus on Mongo
  
  DB.
• 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.

• Bachelor’s degree in Computer Science, Information Systems, or related field required
• Master’s degree preferred

• 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#)
• Transportation, Logistics, and/or Tech industry experience a plus

• Proficiency in SQL and experience with at least one No
  
  SQL database, specifically MongoDB
• Understanding indexing, partitioning, and data sharding
• Knowledge of data security and compliance best practices
• Familiarity with message brokers such as Kafka or Rabbit
  
  MQ, and relational databases like Amazon RDS is a plus
• Strong SQL skills and experience with data processing frameworks
• Ability to design and optimize database schemas and queries
• Experience with Mongo
  
  DB and cloud platforms (e.g., AWS, Azure, GCP) is beneficial
• 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

• Relevant certifications (Mongo
  
  DB Certified Developer, Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, etc.) preferred

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