Data Engineering Specialist (TS/SCI Required)
Arlington/Rosslyn, Virginia, United States
Full Time Mid-level / Intermediate Clearance required USD 107K - 200K * est.
Deloitte
Insights zu unseren Diensleistungen im Bereich Audit, Consulting, Financial Advisory, Risk Adivisory und Tax sowie unseren zahlreichen Industrien.Data Engineering Specialist (TS/SCI Required)
Data and Analytics | Data ManagementArlington/Rosslyn, Virginia, United States
Position Summary
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 be required to interpret business needs and select appropriate technologies and implement 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.
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.
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 area
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
Recruiting tips
From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. 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. Requisition code: 300714 Job ID 300714
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Data governance Data management Data pipelines Docker DynamoDB Engineering ETL Generative AI Kafka Kubernetes Lambda Linux Machine Learning MongoDB Neo4j NiFi NLTK Pipelines PostgreSQL RAG Redshift Scikit-learn Security
Perks/benefits: Career development
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