Data & Analytics Engineer | TS/SCI w. Polygraph Required
Arlington/Rosslyn, Virginia, United States
Full Time Mid-level / Intermediate Clearance required USD 108K - 201K * est.
Deloitte
Insights zu unseren Diensleistungen im Bereich Audit, Consulting, Financial Advisory, Risk Adivisory und Tax sowie unseren zahlreichen Industrien.Data & Analytics Engineer | TS/SCI w. Polygraph Required
Data and Analytics | Data EngineeringArlington/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 DoData Engineers 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. Candidates will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. Candidates 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. They will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. They will analyze data and systems architecture, create designs, and implement information systems solutions.
- Be a Pioneer: Collaborate in the development and deployment of a groundbreaking analytics platform that will set a new standard in the national security sector.
- Unleash Insights: Dive into massive spatiotemporal datasets, applying advanced machine learning techniques (clustering, forecasting, NLP, graph analytics, and more) to extract actionable intelligence that drives mission-critical decisions.
- Lead the Charge: Provide technical mentorship and guidance, championing best practices in data science and the innovative application of quantitative methods to overcome complex challenges.
QualificationsRequired:
- Bachelor’s degree required
- 5+ years of experience implementing data systems
- 3+ years of experiences with AWS platforms and tools
- 1+ year of experience with Jira/ Confluence
- 2+ years of experience managing large-scale processing systems
- 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 with poly security clearance required
- Ability to work 100% onsite in Chantilly, VA
- Ability to travel 5-25% based on the industries and clients you serve
- Master’s degree
- Python Analytics
- Palantir
- Strong understanding of data science concepts and ML frameworks and libraries
- Familiarity with Spark
- Geospatial data science experience
- Large scale data pipelines
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: 301673 Job ID 301673
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Analyst Jobs
Engineering Jobs
Tags: Architecture AWS Clustering Confluence Data governance Data pipelines Engineering Jira Machine Learning NLP Pipelines Python Security Spark Travel
Perks/benefits: Career development
Region:
North America
Country:
United States
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