Quick Overview
Job Description
Job Description: LMI is seeking a Data Engineer to support Department of Veterans Affairs (VA) modernization initiatives. These full-time positions provide scalable, hands-on analytical capacity across operational improvement, digital modernization, workflow analysis, performance measurement, data-quality assessment, reporting, and decision support. This position follows a hybrid work model, with an expectation of approximately 25% onsite presence at LMI’s Tysons headquarters or Washington, DC.
The Data Engineer will turn business and mission questions into defensible analysis by identifying data needs, assessing source quality, preparing and validating data, performing exploratory and recurring analysis, and presenting results in clear, decision-ready formats. Work may include ad-hoc analysis, data pipeline development, data modeling, and collaboration with cross-functional teams to ensure data integrity and usability.
Key Responsibilities
- Develop and maintain scalable data pipelines for ingesting, processing, and analyzing large datasets.
- Design and implement data models to support business intelligence and reporting needs.
- Ensure data quality, integrity, and security throughout the data lifecycle.
- Collaborate with stakeholders to understand requirements and translate them into technical solutions.
- Create and maintain documentation for data processes, models, and systems.
- Perform data exploration and analysis to derive insights and support decision-making.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay current with industry trends and best practices in data engineering and analytics.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
- Minimum of 5 years of experience in data engineering, data analytics, or a related field.
- Proven experience with data warehousing, ETL/ELT processes, and data modeling.
- Strong proficiency in programming languages such as Python, SQL, or R.
- Experience with big data technologies (e.g., Hadoop, Spark, Hive).
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication and collaboration skills.
- Active clearance required.
Preferred Qualifications
- Master’s degree in Data Science, Computer Science, or a related field.
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Knowledge of data governance and compliance standards.
- Experience with machine learning and advanced analytics techniques.
- Familiarity with VA systems and processes. Why Join LMI?
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