In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.
Work you’ll do
Deloitte is looking for a Senior Data Engineer to join our Data Science and Capabilities Team that supports an applied research and development shop as we provide prototype data solutions to solve pressing mission issues.
As a Data Engineer, 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.
Duties:
• 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.
The GPS AI & Data Engineering (AI&DE) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to deliver insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.
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
- Bachelor’s Degree required, STEM related field preferred (Data Science, Computer Science, Engineering, Physics, Mathematics, etc)
- Active TS/SCI security clearance required
- 8+ years experience with software platforms and services, such as Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
Proficient experience utilizing JavaScript, Elasticsearch/Opensearch, JSON, SQL, XML. - 5+ years experience with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, Redis, and graph databases such as Neo4j, Memgraph, or others.
Preferred Qualifications
- 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
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