Jobs
Benefits & Perks
•Professional development budget
•Generous paid time off and holidays
•Parental leave
•401(k) matching
•Comprehensive health, dental, and vision insurance
•Learning
•Parental Leave
•Healthcare
Required Skills
TypeScript
React
Node.js
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.
- 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, Ni Fi, 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, spa Cy, and others.
- Experience building Generative AI pipelines using vector databases, NER, and RAG.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
Contact & Location
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About Deloitte

Deloitte
Private PartnershipA business consulting company that offers audit, consulting, financial advisory, and tax services.
10,001+
Employees
London
Headquarters
Reviews
3.4
17 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.8
Career
2.2
Management
1.5
25%
Recommend to a Friend
Pros
Professional development and certification support
Opportunities to work on critical projects
Recognition of high performers
Cons
Poor management and leadership decisions
Unfair promotion processes despite good performance
Layoffs and job insecurity
Salary Ranges
87,539 data points
Junior/L3
Junior/L3 · Analyst
3,676 reports
$92,194
total / year
Base
$86,837
Stock
-
Bonus
$5,357
$67,832
$126,306
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Duration
14-28 weeks
Offer Rate
29%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Hiring Manager Interview
4
Behavioral Interview
5
Team/Panel Interview
6
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Case Study
Past Experience
Culture Fit
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