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What we’re building and why we’re building it.
Fetch is a build-first technology company creating a rewards program to power the world. Over the last 5 years, we’ve grown from 0 to 14M active users and taken over the rewards game in the US with our free app. The foundation has been laid. In the next 5 years we will become a global platform that completely transforms how people connect with brands.
It all comes down to two core beliefs. First, that people deserve to be rewarded when they create value. If a third party directly benefits from an action you take or data you provide, you should be rewarded for it. And not just the “you get to use our product!” cop-out. We’re talkin’ real, explicit value. Fetch points, perhaps.
Second, we also believe brands need a better and more direct connection with what matters most to them: their customers. -- Brands need to understand what people are doing, and have a direct line to be able to do something about it. Not just advertise, but ACT. Sounds nice right?
That’s why we’re building the world’s rewards platform. A closed-loop, standardized rewards layer across all consumer behavior that will lead to happier shoppers and stronger brands.
Fetch Rewards is an equal employment opportunity employer.
The Role:
The data engineering team is working to use all the latest technology to build a performant, reliable, and scalable platform for delivering data. The work of data engineers is to enable all stakeholders to be able to access and use endless amounts of data that come from an ever-growing variety of data sources. At fetch our motto is to make data processing appear seamless and effortless for both producers and consumers of data. With a goal of having world class data availability with terabytes of daily data, data engineering is critical to Fetch’s success.
You Possess:
Bonus points for:
At Fetch Rewards, we'll give you the tools to feel healthy, happy and secure.
Full Time
Telecommunications
$99k-125k (estimate)
07/10/2022
01/19/2023
ericveenendaal.com
Madison, WI
<25
Telecommunications
The job skills required for Data Engineer include SQL, Python, Data Engineering, AWS, Big Data, Computer Science, 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.