LMI - McLean, VA

posted about 2 months ago

Full-time
McLean, VA
Professional, Scientific, and Technical Services

About the position

As a Data Engineer at LMI, you will play a crucial role in developing and deploying technical solutions that address some of our customers' most challenging problems. This position involves utilizing various platforms to integrate data, transform insights, and create first-class applications that support operational decision-making. You will leverage a wide array of resources, including core customer products and open-source technologies, to drive significant impact in your projects. Your work will span across global customers, providing you with unique insights into critical industries and institutions. Each project will present its own set of challenges, from navigating regulatory environments to understanding the nature of the data and the user population involved. Your goal will be to accommodate all aspects of these environments to achieve tangible technical outcomes for our clients. LMI is a consultancy dedicated to empowering a future-ready, high-performing government. We draw from our expertise in digital and analytic solutions, logistics, and management advisory services to deliver integrated capabilities that incorporate emerging technologies tailored to our customers' unique mission needs. Our foundation dates back to 1961, when we began assisting the Department of Defense in resolving complex logistics management challenges. Today, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies. We are proud to have been recognized as a 2024 Best Places to Work by BuiltIn, reflecting our commitment to a people-centered culture and the invaluable contributions of our employees.

Responsibilities

  • Perform various ETL functions
  • Debug issues related to delayed or missing data feeds
  • Write transformations and derive new datasets
  • Monitor build progress and debug build problems
  • Engage in 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
  • Collaborate with technical and non-technical team members to derive solutions
  • Develop architecture diagrams to propose solutions to problems
  • Configure cloud resources for data pipelining, storage, and retrieval

Requirements

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline (Master's degree preferred)
  • 7+ years of work experience in data engineering, data science, software engineering, or relevant hands-on 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
  • 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

Nice-to-haves

  • Experience with the restrictions of working in classified engineering environments

Benefits

  • Recognition as a 2024 Best Places to Work by BuiltIn
  • People-centered culture
  • Opportunities for professional development and growth
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