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About
Location: Remote, with a preference of being in the DMV area Workplace: Remote Clearance Required: Ability to obtain public trust but an active Secret Clearance is preferred Position Overview:
As a Data Engineer, you will design and build data pipeline systems for collecting, storing and analyzing data to ensure it is usable for data scientists and analysts, while utilizing software best practices, data optimizations (including storage, indexing, and normalization), anomaly detection, and machine learning principles. This role does not focus on working on a single product necessarily, is fast paced, and allows the opportunity for someone to learn and grow as an engineer. If you are excited about working in a dynamic environment, this role would be great for you! This position will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer. Essential Functions:
As a Senior Data Engineer, you will: Develop, deploy and maintain multiple data pipelines to support various data science models as required by client projects. Take client requests and help turn into a dashboard to help solve client problems. Provide support to existing data pipelines that ingest raw data from disparate sources and move the data to a destination for storage and analysis. Provide internal IT support for the company's cloud infrastructures. Collaborate with Data Scientists to facilitate project completion according to client needs. Attend and present at client project update meetings. Attend regular Data Engineering mentorship meetings and Data Engineering Team-building and knowledge-share meetings. Attend monthly meetings with supervisors. Complete professional development curriculum created for the Data Engineering Team. Requirements:
An active Secret Clearance Bachelor of Science degree in Computer Science or closely related IT field. 5+ years of experience Proficiency in Python Strong hands-on experience with AWS services, including Lambda, Step Functions, Glue, S3, and Athena Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools Understanding of IAM roles, policies, and security best practices for AWS services JavaScript familiarity Willingness to learn
Languages
- English
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