Data Science Engineer

Overview As a Data Science Engineer, you’ll help build advanced technology solutions and implement data science and engineering activities on some of the most mission-driven projects in the industry. You’ll deploy, develop workflows, pipelines, and platforms that organize disparate data into actionable insights. Work within a multidisciplinary team of analysts, data scientists, data engineers, developers, and stakeholders in a fast-paced agile environment. Responsibilities Design, develop, and deploy data pipelines and workflow solutions. Analyze data and engineer solutions that translate complex datasets into actionable information. Collaborate with data scientists, engineers, and clients to understand requirements and deliver scalable assets. Maintain and enhance existing systems with new architectures and technologies. Qualifications 4+ years of experience with Python, SQL, ETL, and data pipelines. Experience with container orchestration (e.g., Kubernetes). Experience with data engineering concepts and implementations. Proficient in writing production-quality code and creating code samples. Experience solving complex problems within cross-functional teams. TS/SCI clearance with polygraph. Bachelor’s degree. Nice to have 1+ year with Spark, ELK, OpenSearch, or similar stack. Experience gathering client requirements and designing solutions. Knowledge of AWS services, including S3. Experience with infrastructure-as-code platforms such as Terraform. Compensation Annualized salary range: $77,600–$176,000 USD, dependent on location and experience. Full benefits package available for full-time employees meeting eligibility thresholds, including health, life, disability, retirement, paid leave, and professional development. EEO Statement All qualified applicants will receive consideration for employment without regard to disability, veteran status, or any other protected status as required by law. #J-18808-Ljbffr