Barbaricum
The work you want to do. The people you want to work with. Join our team and gain access to innovative solutions.
Technology-Enabled Services • Strategic Communications • Research and Analysis • IT • Mission Support
201 - 500
Data Engineer
March 18
🏡 Remote – New York
Barbaricum
The work you want to do. The people you want to work with. Join our team and gain access to innovative solutions.
Technology-Enabled Services • Strategic Communications • Research and Analysis • IT • Mission Support
201 - 500
Description
• Responsible for establishment and operation of a data pipeline to support transfer of USMC ground vehicle Controller Area Network (CAN bus) data from USMC vehicle fleet to a System Integration Lab (SIL) hybrid cloud environment hosted at NSWC Crane • Utilize data engineering tools and generate scripts to enable transformation of raw CAN bus data into processed data ready for ingestion into SIL cloud environment • Develop automation processes for ingestion of processed data into SIL cloud environment and export of data to external predictive analytics organizations • Identify methods to improve data collection, data integrity, data security, analysis, validation, scalability, and reporting • Design and implement data solutions using industry best practices • Maintain and monitor data pipelines to ensure high service availability • Work with Data Scientists to understand analysis needs and mathematical models and optimize data solutions accordingly
Requirements
• Active DoD Secret clearance required • Experience writing re-usable code in R, Python, Java, Scala, SQL, or other languages • Bachelor’s degree in Computer or Electrical Engineering, Computer Science, Data Science or Information Systems • 5+ years of demonstrated experience working in a data engineering / data scientist role • Experience designing, managing, and developing Artificial Intelligence (AI) and/or Machine Learning (ML) data models spanning multiple disparate sources • Demonstrated experience with DOD data systems (Qlik, Databricks, AWS SageMaker) • Demonstrated experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) • Demonstrated experience with NoSQL databases (e.g., MongoDB, InFluxDB, Redis) • Demonstrated knowledge of extract, transform, and load (ETL) best practices in an enterprise environment • Knowledge of software engineering best practices (Agile principles, code standards, code reviews, source code management, build processes, testing, and operations) • Ability to communicate effectively with individuals in both technical and leadership roles
Benefits
• This position may be performed remotely • Limited travel to government customer site may be requested • Active DoD Secret clearance required
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