Senior Data Engineer (TS/SCI Required)
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.
- 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.
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
- 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.
Recruiting tips
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Benefits
At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
Our people and culture
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
Our purpose
Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.
Professional development
From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Requisition code: 311029
Job ID 311029
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