Data Engineer with Cloud Expertise - Active TS/SCI Required

Rosslyn, Virginia, United States

Deloitte

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Data Engineer with Cloud Expertise - Active TS/SCI Required

Data Analytics | Data Management, Maintenance and Operations

Rosslyn, Virginia, United States

Position Summary

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 to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.

Work you’ll do

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.

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 Operations 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 delivery 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.

Qualifications

Required:

Bachelor's Degree in a relevant field

Must live (or be willing to relocate to) the DC Metro area, and willing to report on client site 3-4x a week

4+ years of cloud architectures and enabling tools and technologies, such as, AWS Cloud (Gov Cloud/CS2) and ETL pipelining

4+ years of experience with datastores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch and SQL.

4+ years experience in Python with key libraries like pandas and PySark, NiFi, Airflow, AWS Lambda or similar technologies.

4+ years experience with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS and Kafka

Must have an Active TS/SCI or above government security clearance

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Preferred:

2+ years of prior professional services or federal consulting experience, preferably in an Agile environment

2+ years of experience with DevOps environments.

Creativity and innovation – desire to learn and apply new technologies, products, and libraries

Strong written and verbal communication skills

Strong organizational skills

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-JRK  #engcamp2024

 

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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 diverse, equitable, and 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 client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture. Our purpose
Deloitte’s purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact. 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.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

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.

Requisition code: 201244

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Airflow Architecture AWS Consulting Data Analytics Data governance Data management DataOps Data pipelines Data visualization DevOps Docker DynamoDB Elasticsearch ETL Kafka Kubernetes Lambda Machine Learning MongoDB NiFi OpenSearch Pandas Pipelines PostgreSQL Python Redshift Robotics Security SQL Statistics

Perks/benefits: Career development

Region: North America
Country: United States

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