Senior Data Engineering - TS/SCI
Listed on 2026-02-07
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IT/Tech
Data Analyst, Data Science Manager
Overview
LMI is seeking a Senior Data Engineer with TS/SCI clearance to support our Intelligence Community client. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities- Understanding complex and organization-specific datasets.
- Producing dashboards and visualizations to support complex client requirements.
- Conducting root cause analysis, identifying errors, and refactoring pipelines as needed.
- Performing analyses to answer routine and ad hoc questions as identified in the data being leveraged.
- Developing and improving standard operating procedures.
- Communicating with data analysts and developers to design tools and applications to improve response to repeat requests.
- Researching, analyzing and documenting the benefits of various technical approaches.
- Proposing alternative designs and processes to manage various types of data using both standard and custom tables and fields.
- Working in teams and independently.
- Support the maturation of data quality.
- Support the transformation of business processes through automation.
- Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools.
- Advising on the interpretation and use of data analysis products, dashboards and reports to non-technical customers.
- Assisting the development of junior teammates through technical mentoring, code review, and other assistance.
Required:
- Bachelor's degree in science, engineering, mathematics, computer science, information systems, data analytics, or other related business or quantitative discipline
- 7+ years experience in data engineering or related field
- Experience with ETL process and concepts
- Knowledge and experience manipulating and joining data from various sources and in various formats
- Ability to query datasets from multiple sources, knowledge of data refresh methodologies, and ability to leverage data models
- High level of competency with data engineering coding languages like SQL and Python
- Self-starter with the vision to independently identify opportunities for improvement through data analytics
- A true team player who maintains a positive attitude in a dynamic environment
- Excellent communication skills, written and oral
- Proven ability to work with business customers and technical teams
- Highly organized and able to manage multiple projects simultaneously
- Excellent customer relationship management skills
- Innovative problem-solving skills and ability to thrive in a fast-paced environment
- Ability to work on client site in the NCR in Washington, D.C.
- Active TS/SCI required. CI Polygraph required for the position; candidates without a current polygraph will be sponsored for upgrade.
Desired:
- Masters degree or higher
- Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js
- Experience with version control software like Git
- Experience with Agile development
- Management consulting experience desired
LMI is an Equal Opportunity Employer. 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, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law.
If you are a person with a disability needing assistance with the application process, please contact accommodations
Colorado Residents:
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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