Role overview
- Analyze and interpret complex data sets using statistical analysis and machine learning algorithms, develop and implement data cleaning and transformation processes to prepare data for analysis, and proactively support clients in ad hoc data analysis requests by interfacing directly with them to understand and meet their needs, demonstrate agility in delivering results with a quick turnaround, aligning with both non-functional and functional business requirements.
- Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into DLA R&D ARTET central data warehouse, and moving data out to applications and affiliates.
- Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets in DLA business systems and applications.
- Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies.
- Leverage big data technologies to efficiently process very large datasets and creating robust analytical tools that optimize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.
- Work with stakeholders including the Executive, Product, Data Owners, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
What we're looking for
- DoD or DLA experience
- 3-5 years' experience working with DLA business enterprise solutions (e.g., EBS, FLIS, EDW, DAAS, WMS), DLA systems (e.g. WAWF, ETID, SAM, DIBBS), and Non-DLA systems (e.g., GSA, IGC, 3PL, Syncada, etc.) highly preferred.
- Master's Degree
- PMP certification
- Ability to work to tight deadlines and deliver a compliant product.
- Analytical and energetic nature, driven desire for efficiency.
- Effective problem identification and solution skills
- Ability to document, plan and execute programs.
- Strong ability to work within a team.
- High Performer
Location: HYBRID: Must be within commutable distance to Fort Belvoir, VA
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Machine Learning Data Science Data Engineer Ai