Data Engineer - Clearance Required - Logistics Management Institute

Overview

LMI is seeking a Data Engineer to assist a United States Army client in developing a data focused software solution. 

LMI is a consultancy dedicated to powering a future-ready, high-performing government, drawing from expertise in digital and analytic solutions, logistics, and management advisory services. We deliver integrated capabilities that incorporate emerging technologies and are tailored to customers’ unique mission needs, backed by objective research and data analysis. Founded in 1961 to help the Department of Defense resolve complex logistics management challenges, LMI continues to enable growth and transformation, enhance operational readiness and resiliency, and ensure mission success for federal civilian and defense agencies.  

LMI has been named a 2022 #TopWorkplace in the United States by Top Workplaces! We are honored to be recognized as a company that values a people-centered culture, and we are grateful to our employees for making this possible! 

This position requires an active Secret clearance.   

Responsibilities

• Performs data engineering and data analysis to create, store, locate, retrieve, analyze, manage, and share test and evaluation documentation/artifacts, to bring enterprise data integration and advanced analytics capabilities to senior Army leadership.   
• Leads and develops data products within the system/software development life cycle from requirements definition, to architecture, design, implementation, and testing, through deployment and operations, and support.   
• Defines and develops techniques to integrate, consolidate, and structure data for analytical use, including the ability to inform on data aggregation and associated security implications, and the ability to leverage logical data models to support data source mappings.   
• Identifies data migration strategies to transition data from legacy systems and technologies to advanced, enterprise-based solutions.   
• Prepares strategic and tactical recommendations with sufficient rationale to advise senior leader decisions relative to the applicability and application of data technologies.   
• Performs assessments relative to data architecture, design, and implementation, and identifies system impacts associated with new requirements, and requirements changes.  
• Contributes to technical collaboration with internal and external stakeholders. 

Qualifications

MINIMUM:

• Bachelor’s Degree in a STEM or related field 
• Minimum 3-years of demonstrated experience with enterprise data management solutions and platforms in the areas of master data management, data quality management, data governance, metadata management, Extract-Transform-Load (ETL), data warehousing, and data lakes
• Minimum 2-years of experience modeling and managing structured and unstructured data including photos/images, physical specifications/technical diagrams
• Experience leading legacy data integration and remediation (facades, strangler approaches, etc)
• Deep understanding of different integration patterns and best practices such as events, synchronous vs asynchronous messaging, distributed logs, and RESTful APIs
• Must possess and maintain a Secret Security Clearance

PREFERRED EXPERIENCE/SKILLS: 

• Matsers Degree in a STEM or related field 
• 5+ years of demonstrated experience
• Experience working with US government IT infrastructure, speciffically with US Army Vantage
• Demonstrated experience working with relational(sql) database management systems, normalizing complex data to optimize for writing and reading as well as designing efficient queries for operational and analytical purposes. 
• Demonstrated experience working with solutions to create data pipelines that allow applications to operate as loosely coupled components and facilitate easy on-boarding of new features. 
• Demonstrated experience working with specific non-relational databases such as Apache Druid, Cassandra, and AWS Simple Storage Solution(S3). Should be able to explain when to use these solutions and instead of relational database solutions. 
• Some experience working with distributed, high-volume database solutions such as Apache Hadoop, Apache Spark. 
• Proficiently in scripting data transformations jobs and writing API servers with Python 
• Has worked with domain experts in a field they did not have proficiency to deliver value to customers 
• Demonstrated experience working with Kubernetes (k8s) and containerization(docker)