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Data Engineer

4 weeks ago

Bloomington, Illinois, United States LMI Full time
Overview

LMI is a consultancy dedicated to powering a future-ready, high-performing government. As a Junior Data Engineer, you will play a key role in developing and deploying technical solutions to solve our customers' hardest problems. You will leverage various platforms to integrate data, transform insights, and build first-class applications for operational decisions.

Our team works with customers around the globe, providing rare insight into the world's most important industries and institutions. Each mission presents different challenges, from regulatory environments to data nature and user populations. You will work to accommodate all aspects of an environment to drive real technical outcomes for our customers.

Responsibilities
  • Perform various Extract, Transform, Load (ETL) functions
  • Debug issues related to delayed or missing data feeds
  • Write transformations and derive new datasets
  • Monitor build progress and debug build problems
  • Rapid development and iteration cycles with Subject Matter Experts (SMEs), including testing and troubleshooting application issues
  • Containerize workflows
  • Data modeling and metadata tagging
  • Create and maintain data access and sharing pipelines
  • Work with technical and non-technical team members to derive solutions
  • Develop architecture diagrams to proposed problems
  • Configure cloud resources for data pipelining, storage, and retrieval
Qualifications
  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline (Master's 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