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You are required to be permanently based in the United States to be considered for this position.
What We’re About!
Xevant solutions provide real-time data and insights that empower healthcare stakeholders to solve the access, quality, and cost issues plaguing the US healthcare system to positively impact over 100 million lives.
We are dedicated to hiring individuals who are driven to make a positive impact and grow their career. Our goal is to hire people who want to learn, solve challenges, and contribute to our company culture. Xevant’s team of professionals portray leadership, commitment, and dedication daily. At Xevant, teamwork is the core factor that drives success. We are accountable for cultivating an innovative environment that reflects both diversity and inclusion where we can grow and learn together with a diverse team of employees.
The Team You’ll Join
You’ll be joining an innovative Data Solutions team, which currentlyownsmany data pipelines for critical functions of Xevant’s business.In this role, you’llbe responsible for designing and implementing complex data solutions, ensuring the reliability and scalability of our data systems, creating and maintaining data models, and supporting a wide variety of data processes use cloud technologies and python.
The Impact You’ll Make
Requirements
Why you should choose Xevant!
Xevant provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Xevant complies with all applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Full Time
$69k-86k (estimate)
09/26/2022
10/17/2023
xevant.com
Draper, UT
<25
The job skills required for Data Engineer include SQL, Data Warehouse, Programming, Leadership, Commitment, Troubleshooting, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. 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. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, 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. You can explore the career advancement for a Data Engineer 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.
Step 1: Understand the job description and responsibilities of an Accountant.
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.
Career tips from people on Data Engineer jobs
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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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.