Estes Forwarding Worldwide, LLC

Engineer, Data Science

Job Location US-VA-Richmond
Job ID
2023-4278
# of Openings
1
Category
Information Technology
Type
Regular Full-Time
Shift
1st (Day)

Overview

Estes Forwarding Worldwide (EFW) is a leading domestic and international freight forwarder in the United States, providing customized logistics and warehousing solutions for clients around the world and across all industries via air, ground, and ocean freight. A subsidiary of Estes Express lines with corporate located in Richmond, Virginia, EFW is uniquely backed by Estes Express Lines’ extensive line haul network providing EFW clients with a hybrid transportation network. The company has received industry awards, including Specialty Carrier of the Year and E-Commerce Delivery Carrier of the Year, and has been recognized by Global Trade Americas as a leading 3PL to watch.

 

We are proud to offer highly competitive pay and a comprehensive benefits package, including:

  • Paid vacation, sick time, and holidays
  • 401(k) plan with company match
  • Medical, dental, and vision insurance
  • Short- and long-term disability plans
  • Life and accidental death & dismemberment insurance
  • Job referral bonus program

Responsibilities

The Data Science Engineer will be a part of our IT team and will work in support of Reporting, Pricing, Analytics, Operational and Infrastructure initiatives. The Data Science Engineer will be responsible for developing an understanding of data and information needs, identifying solutions and improving the quality of service while providing support through the logical and physical design of databases, data-structures, routes, and topics. The Data Science Engineer will be responsible for designing, managing, and maintaining digital communication document and messaging format standards. The Data Science Engineer will act as a Database Administrator, maintaining data integrity, availability and performance across data-stores, data services, and RDBMSs. The Data Science Engineer will also provide strategic guidance and implementation of the corporate Data “Surface” and the corresponding integrations, translations, and observability.

 

  • Designing, managing, and maintaining company digital communications formats and standards in documentation.
  • Managing and maintaining database system software and database security.
  • Monitoring and analyzing database performance and ensuring effective and efficient utilization of database systems/processes.
  • Maintaining database dictionaries and support tools; developing and maintaining accurate system documentation.
  • Participating in the development of application code: assisting in developing application data-management architecture and defining data-structures.
  • Providing technical leadership on database systems and solutions. Providing individual mentoring and training on databases and tools. Recommending, testing, and evaluating new technologies, software tools, and required skill sets; recommending and implementing improvements.
  • Implementing a Business Continuity solution for the database environment.
  • Comply with company C-TPAT and TSA security procedures.
  • Perform other duties as assigned.

Qualifications

  • Skilled in complex SQL, and NoSQL query creation, tuning and troubleshooting.
  • Two or more years of:
  • Database administration experience: installing, configuring, designing, patching, archiving, monitoring, indexing and performance tuning.
  • Backup/recovery solutions and best practices.
  • Common BI Tools (Tableau, PowerBI).
  • NoSQL solutions and concepts.
  • Working knowledge of data encryption techniques in process and on disk.
  • Capable of managing multiple projects concurrently while maintaining a high level of attention to detail on each project.
  • Ability to write effective technical documentation.
  • Ability to communicate with the customer’s technical staff.
  • Ability to communicate with business stakeholders in order to understand business needs.
  • Experience with modern operations technologies and network troubleshooting.
  • Bachelor’s Degree in Computer Science, Computer Applications, or past commercial implementation experience in the field.
  • Experience with the following is not required but considered valuable:
  • BigData / FastData / DataLake / Data Virtualization solutions and concepts.
  • Machine Learning.
  • Strong communication skills, good organizational skills, and ability to problem solve.
  • Ability to work independently and in a fast-paced, team environment.
  • Must be able to and comply with all company policies, rules, procedures and Code of Conduct.
  • Must be able to interact well with others.
  • Ability to read and interpret complex business and/or technical documents.
  • Ability to write comprehensive reports and detailed business correspondence.
  • Ability to work with groups of people such as other departments and communicate known concepts.
  • Ability to solve problems with a variety of concrete variables through semi-standardized solutions that require some ingenuity and analysis. Ability to draw inferences and follow prescribed and detailed procedures to solve moderately complex problems.
  • Must be eligible to work in the United States.
  • At this time, EFW will not sponsor a new applicant for employment authorization for this position.
  • EFW prides itself on the quality of its employees and as such, candidates who receive a job offer will be required to successfully pass a drug screen and a background check.
  • EFW offers an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, ethnicity, color, creed, religion, national origin, age, disability status, protected veteran status, marital status, sexual orientation, gender identity or expression, or any other legally protected status.

 

EFW is an Equal Opportunity Employer, Minorities/Female/Disabled/Veteran.

 

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