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Senior Data Engineer (TS/SCI Required)ClearanceJobsUnited States

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Senior Data Engineer (TS/SCI Required)

ClearanceJobs
  • US
    United States
  • US
    United States

Über

Senior Data Engineer
Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work You'll Do As a Senior Data Engineer, you will play a critical role in supporting data scientists and analysts by designing, building, and optimizing data pipelines tailored for large-scale text analytics and AI applications. You will collaborate closely with business stakeholders, IT experts, and subject-matter experts to deliver robust data engineering solutions that enable advanced natural language processing (NLP), generative AI, and agentic AI capabilities. The Team Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. Qualifications: Required
Bachelor's degree required Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Active TS/SCI security clearance required 4+ years of experience working with software platforms and services, such as Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar. 4+ years of experience with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, Redis, and graph databases such as Neo4j, Memgraph, or others. Ability to work on-site in Tampa, FL 5 days per week Preferred
Experience administering Linux/Unix servers Experience implementing ML pipelines using scikit-learn, NLTK, spaCy, and others. Experience building Generative AI pipelines using vector databases, NER, and RAG.
  • United States

Sprachkenntnisse

  • English
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