What are the responsibilities and job description for the Data Engineer - Clearance Required position at LMI Consulting, LLC?
Data Engineer - Clearance Required
Job Locations
US-DC-Washington, DC
| Job ID | 2023-10295 | # of Openings | 1 | Category | Data/Analytics |
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 is seeking a Data Engineer to work at a client location at Fort Belvoir, VA. Remote teleworking is allowed. Less than 10% required travel.
Data Engineer will work within a small team of data engineers/scientists/analysts to support data projects for Army PL GFIM. Responsibilities will include:
- Review and assess data-related technical deliverables on the inner workings of the solution from data flow/pipelines, transformation/ETL, configurations, data models, ontology and taxonomy etc.
- Review data-related technical sprint activities against requirements and acceptance criteria of user stories.
- Engage technical and functional program SMEs, and key data stakeholders to understand business processes, data and analytical requirements, key data elements, data mappings, data protection guidelines, etc.
- Provide support identifying notional data strategies as needed.
- Support the process to ensure relevant technical rules are identified and being applied to data in regard to classification and data aggregation.
- Provide support in driving the resolution of data issues that are identified throughout demos, deployment of code to various environments, user testing, etc.
- Develop data-related architecture documents in appropriate formats.
- Lead data-related technical working sessions with appropriate stakeholders.
- Define and develop techniques to integrate, consolidate, and structure data for supporting functional workflows, analytical use.
- Understand and analyze complex and organization-specific datasets.
- 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, stewardship, integration, and standardization.
Support project management over data activities to ensure timely delivery in a reactive and agile environment.
Required:
- Bachelor's degree in data science, 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.
- 2-3 years of related experience in the field is required (including data architecture, data pipelines, coding best practices, data analytics, Al modelling).
- Experience designing, building and implementing data pipelines.
- Experience in designing, developing, and maintaining APIs that support data interfaces with external systems.
- Experience with AWS products and Mulesoft
- Experience in programming languages such as SQL and Python.
- Experience with containerization
- 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:
- 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
- Experience with Federated Data Architecture Paradigm and Design Patterns
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LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, age, national origin, disability, veteran status, or any other factors protected by applicable law. We welcome applications for employment from qualified disabled veterans, veterans of the Vietnam era, and other covered veterans.
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