Senior Solutional Data Engineer - Active TS/SCI Required
Rosslyn, Virginia, United States
Full Time Senior-level / Expert Clearance required USD 130K - 241K *
Deloitte
Insights zu unseren Diensleistungen im Bereich Audit, Consulting, Financial Advisory, Risk Adivisory und Tax sowie unseren zahlreichen Industrien.Senior Solutional Data Engineer - Active TS/SCI Required
Data Analytics | Data Management, Maintenance and OperationsRosslyn, 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
Deloitte is seeking a data engineer to work in a variety of settings to develop and design data pipelines to support end-to-end solutions. Candidate will build systems that collect, manage, and convert raw data into usable information for multiple purposes to include but not limited to, IT application usage, reporting, applicant processing, etc.
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
6+ years of developing and maintaining artifacts i.e., schemas, data dictionaries, and transforms related to ETL processes
6+ years of experience developing and designing data pipelines to support an end-to-end solution.
6+ years experience integrating data pipelines with AWS cloud services to extract meaningful insights.
6+ years experience designing and developing robust and functional dataflows to support raw data and expected data.
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:
4+ years of prior professional services or federal consulting experience, preferably in an Agile environment
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
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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 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: 201247
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Consulting Data Analytics Data management DataOps Data pipelines Data visualization ETL Machine Learning Pipelines Robotics Security Statistics
Perks/benefits: Career development Equity / stock options
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