Engineer, Data II

Primary Position Purpose

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 Mongo
  
  DB.
• 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.

• N/A

• 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

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.

This role will remain open until it has been filled.