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19th Street North, Arlington
$95,000 - 130,000
Requirements
Must:
- Active TS/SCI Clearance with Polygraph.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Must be legally authorized to work in the United States without requiring employer sponsorship, now or in the future.
- Must be willing to work 100% on-site in Chantilly, VA.
- 4+ years of experience in Data Analytics, Data Science, and Data Engineering.
- 5+ years of experience in advanced Python programming and modeling.
- 2+ years of experience with NumPy, Panda, and Spark.
Responsibilities
- Develop, implement, and maintain data pipelines to process and analyze large, intricate datasets in support of the client’s mission.
- Employ advanced data science techniques—including both supervised and unsupervised machine learning, spatial analysis, and time-series modeling—to derive actionable insights for critical operations.
- Construct, test, and enhance analytical methodologies and AI/ML solutions for incorporation into user-facing technical tools.
- Collaborate directly with client stakeholders and mission operations teams to comprehend requirements, communicate findings, and adapt analytical solutions to changing needs.
- Document code, workflows, and analytical processes following best practices, ensuring reproducibility, transparency, and knowledge sharing within the team.
- Prepare and present clear, concise technical briefings to audiences that range from technical peers to senior leaders and non-technical stakeholders.
- Quickly respond to high-priority analytical requests, adjusting to changing mission priorities while maintaining high standards of technical accuracy and communication.
Description
At Deloitte, our AI & Engineering team is dedicated to transforming technology platforms, driving innovation, and making a meaningful impact on our clients' success. We work alongside skilled professionals who are reimagining and reengineering operations and processes vital to businesses. Your contributions will assist clients in enhancing financial performance, accelerating new digital initiatives, and promoting growth through innovation. As a part of our Government and Public Services (GPS) practice, we aim for significant impact. We serve federal, state, and local government clients, as well as public higher education institutions, bringing fresh perspectives to help them anticipate disruptions, reimagine possibilities, and fulfill their missions. Our AI & Data offerings provide a full range of solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, improve, and manage their data, AI, and analytics capabilities, ensuring they can evolve and scale successfully. You may also have the opportunity to participate in a discretionary annual incentive program, subject to the rules governing the program, where any awards depend on various factors such as individual and organizational performance.
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You can find Data Engineer salaries in the United States here.
How many Data Engineer jobs are in the United States?
Currently, there are 885 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.
Is the US a good place for Data Engineers?
The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Data Engineer jobs in the United States?
Sperasoft, Bain Magique, Archon Systems Inc, Journey Freight International inc, Puter Technologies Inc., Ontario One Call, HAPLY Robotics Inc. among others, are currently hiring for Data roles in the United States.
The company with most openings is Leidos as they are hiring for 88 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.
The company with most openings is Leidos as they are hiring for 88 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.