Data Engineer

4 weeks ago


Bloomington, Illinois, United States Logistics Management Institute Full time

About the Role

We are seeking a highly skilled Data Engineer to join our team at Logistics Management Institute. As a Data Engineer, you will play a critical role in developing and deploying technical solutions to solve our customers' hardest problems.

Key Responsibilities

  • Perform various ETL functions to integrate data from multiple sources
  • Debug issues related to delayed or missing data feeds to ensure timely delivery
  • Write transformations and derive new datasets to support business decisions
  • Monitor build progress and debug build problems to ensure smooth execution
  • Rapid development and iteration cycles with SMEs to deliver high-quality solutions
  • Containerize workflows to ensure scalability and reliability
  • Data modeling and metadata tagging to ensure data quality and integrity
  • Create and maintain data access and sharing pipelines to support collaboration
  • Work with technical and non-technical team members to derive solutions that meet business needs
  • Develop architecture diagrams to propose solutions and drive technical discussions
  • Configuring cloud resources for data pipelining, storage, and retrieval to support business growth

Qualifications

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline (Masters degree preferred)
  • 3+ years of work experience in data engineering, data science, software engineering or relevant other hands-on-keyboard experience
  • Proficiency with programming languages such as Python, Java or similar languages
  • Working knowledge of databases and SQL; preferred qualifications include linking analytic and data visualization products to database connections
  • Experience with Test Driven Development (TDD)
  • Experience with Open-Source Tools, such as Superset, Airflow, Kafka, Postgres, Docker, Helm (or similar), Kubernetes, Spark, etc
  • Experience building production-ready data pipelines
  • Experience developing commercial data products and services
  • Experience with streaming data is preferred
  • Experience with building solutions on both cloud services and on-prem deployments
  • Experience with the restrictions of working in classified engineering environments is preferred
  • Knowledge or experience with federal ATO/RMF processes
  • Knowledge or familiarity with IDAM/ICAM/IAM
  • Ability to work effectively in teams of technical and non-technical individuals
  • Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users
  • Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision
  • Proven track-record of strong communications including feedback gathering, execution updates, and troubleshooting
  • Minimum clearance requirement: Ability and willingness to obtain a Secret clearance

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