Data Engineering Specialist (TS/SCI Required)

Data Engineer

Our Deloitte AI & Engineering team is transforming technology platforms, driving innovation, and helping 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 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.

Responsibilities include:

• Develop and design data pipelines to support an end-to-end solution.
• Develop and maintain artifacts i.e., schemas, data dictionaries, and transforms related to ETL processes.
• Manage production data within multiple datasets ensuring fault tolerance and redundancy.
• Design and develop robust and functional dataflows to support raw data and expected data.
• Collaborate with the rest of data engineering team to design and launch new features. Includes coordination and documentation of dataflows, capabilities, etc.
• Design and develop databases to support multiple user groups with various levels of access to raw and processed data.
• Apply a knowledge of the SDLC to bring applications from proof of concept to production, including on the TS network.

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 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:

• Familiar with Linux/Unix server environments.
• Familiar with common data structures needed to support common machine learning packages such as scikit learn, nltk, spacey, and others.
• Familiar with or desire to become familiar with data structures needed to support Generative AI pipelines such as vector databases, NER, and RAG.