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Senior Data Engineer (TS/SCI Required) Job Opening In Arlington – Now Hiring Deloitte

Senior Data Engineer (TS/SCI Required)

    United States Jobs Expertini Expertini › United States › Jobs › Arlington › Other General › Senior Data Engineer (Ts/sci Required)

Job description

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 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 need to support Generative AI pipelines such as 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
#LI-AC7
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.
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.


Required Skill Profession

Other General


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7. Obeying United States laws and regulations

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Deloitte interview tips for Senior Data Engineer (TS/SCI Required)

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Before the Interview:

Research: Learn about the Deloitte's mission, values, products, and the specific job requirements and get further information about

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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Final Thought:

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