Our Deloitte Regulatory, Risk & Forensic team helps client leaders translate multifaceted risk and an evolving regulatory environment into defensible actions that strengthen, protect, and transform their organization. Join our team and use advanced data, AI, and emerging technologies with industry insights to help clients bring clarity from complexity and accelerate their path to value creation.
Work you'll do
Deloitte is looking for a Data Engineer to join our team that supports an applied research and development shop in Tampa as we provide prototype data solutions to solve pressing mission issues in the national security domain. This individual will help the team with baselining data understanding, preparing data, data modeling, or other data engineering tasks for end users in the Intelligence Community and the Combatant Commands.
As a Data Scientist, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions. This is a heavily hands-on-keyboard role where the primary programming language is Python but you will have the opportunity to branch into other languages in coordination with the full stack developers, data scientists, and machine learning engineers on the team.
Utilize cutting edge data visualization and manipulation techniques to analyze various types of structured and unstructured data set. 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.
The team
Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our Forensic, Discovery, & Financial Crime offering provides services to support anti-money laundering, discovery, business disputes and investigations. Protect brands from financial crime and other corporate misconduct, as well as enable government organizations with tradecraft & technology to combat emerging and evolving threats.
Qualifications
Required:
Bachelor's degree required in related field
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 professional experience as a data scientist
Ability to perform job responsibilities within in a hybrid work model that requires professionals to co-locate in person 5 days per week.
Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
Working knowledge with software platforms and services, such as Docker.
Proficiency utilizing JavaScript, Elasticsearch/Opensearch, JSON, SQL, XML.
Working knowledge with a minimum of 2 years of experience in 2-3 of the following datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, Redis, and graph databases such as Neo4j, Memgraph, or others.
Experience deploying 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.
Preferred:
Experience with Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar
Familiar with Linux/Unix server environments
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.htmlhttps://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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.