Overview

LMI is seeking a Data Engineer (Senior) to work at a client location at Fort Belvoir, VA. Remote teleworking is allowed.

*This position requires an active DoD Secret Clearance*

Responsibilities

Data Engineer (Senior) will lead a small team of data engineers to support end to end data pipelines for various Army customers. Responsibilities will include:

• Design end-to-end data pipelines and oversee the build, implementation, and optimization of those pipelines.
• Design and oversee the build and maintenance of APIs that interface with external systems to access data.
• Develop data engineering-related architecture documents in appropriate formats.
• Support the development and oversight of System Interface Agreements (SIAs).
• Provide guidance and oversee the creation and management of metadata tagging and data catalogs.
• Review and assess data engineering-related technical deliverables, such as data flow diagrams, transformation logic, and data models.
• Support project management over data engineering activities to ensure timely delivery in a reactive and agile environment.
• Review data engineering-related technical sprint activities against requirements and acceptance criteria of user stories.
• Engage with technical and functional program subject matter experts (SMEs) and key data stakeholders to understand business processes, data requirements, key data elements, data mappings, data protection guidelines, etc.
• Provide support in driving the resolution of data issues that are identified throughout daily stand-ups, demos, deployment of code to various environments, user testing, etc.
• Lead data engineering-related technical working sessions with appropriate stakeholders.
• Define and develop techniques to ingest, transform, and manage data for supporting functional workflows, analytical use, and external systems.
• Research, analyze, and document various technical approaches (including implementation, benefits, constraints, outcomes, and any associated risks).
• Develop briefing packages to communicate complex ideas to non-technical customers.
• Propose alternative designs and processes to manage various types of data using both standard and custom tables and fields.
• Provide recommendations for improvements in data strategies to include changes to governance, integration, and standardization.

Qualifications

Required:

• Bachelor's degree in data, engineering, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline required.
• Active DoD Secret clearance required. Must have at a minimum, an Interim Secret Clearance.
• Minimum 5 years of experience in related field is required (building data pipelines, data modelling, building and maintaining APIs, meta data tagging, coding best practices).
• Proficient in Agile Development and Git Operations 
• Experience with AWS products and Mulesoft
• Experience in programming languages such as SQL, Python and JAVA
• Experience with containerization
• Experience building production-ready data pipelines 
• Knowledge or experience with federal ATO/RMF processes 
• Innovative problem solving and root cause identification skills.
• Superior communication skills, both oral and written.
• Able to work effectively at all levels of an organization.
• Must be a team player and able to work with and through others.
• Ability to influence and align others and move toward a common vision or goal.

Desired/Nice to have:

• Master's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline
• Experience with US Army enterprise data.
• Experience with data mesh and data fabric principles and implementations
• Experience with the restrictions of working in classified engineering environments is preferred 

Travel: Minimal, less than 10%