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Why this Role is Interesting?
A Game-Changing AI Company in the Heart of the Midwest
Torch.AI, the Data Infrastructure AI Pioneers™, are headquartered in Kansas City with offices in Washington, DC. We build AI that makes data easier to use by processing data in-flight and radically evolving analytic and operational capabilities in any IT environment. Our Torch Platform instantly unlocks value from data and provides information needed for humans and machines to be more productive. Partnering with U.S. military forces, our solutions and people support a growing array of national defense capabilities with advanced technology.
At Torch.AI, we’re passionate about building software that solves some of the world’s most challenging problems. We have helped our customers enhance top-secret clearances, stop fraud at massive scales, discover new trends and global events, gain an edge in financial markets, and beyond. We are driven by our mission to unlock human potential and serve our clients in valuable and meaningful ways.
The Role
The U.S. Department of Defense relies on complex data every day to drive decisions, support warfighters, mitigate risks to national security, and ensure our global leadership. Data is being generated at an exponential rate and existing solutions don’t address today’s needs.
This Data Engineer role will work in support of developing and implementing solutions for a major U.S. Department of Defense program. The role will engage with cross-functional teams to discover all existing data types and documentation that are currently in use in multiple data producer environments. The successful candidate will be a creative problem solver, diligent and detail oriented, and will have a sharp focus on value creation and mission importance. They will have a keen eye on understanding customer needs, how they currently leverage Torch.AI software, and will help in driving the future success of the customer program.
What Success Looks Like
What We Value
Work Environment & Travel Requirements
Perks & Compensation
Torch.AI is an Equal Opportunity /Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, protected veteran status or status as an individual with a disability.
Full Time
$105k-129k (estimate)
11/10/2023
05/12/2024
torch.ai
Leawood, KS
<25
The job skills required for Data Engineer (TS/SCI Security Clearance Required) include Python, Java, Futures, Data Processing, API, Data Infrastructure, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer (TS/SCI Security Clearance Required). That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer (TS/SCI Security Clearance Required). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer (TS/SCI Security Clearance Required) positions, which can be used as a reference in future career path planning. As a Data Engineer (TS/SCI Security Clearance Required), it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer (TS/SCI Security Clearance Required). You can explore the career advancement for a Data Engineer (TS/SCI Security Clearance Required) below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
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Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
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Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Step 3: View the best colleges and universities for Data Engineer.