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Data Engineer
Mavan is seeking a data engineer who will build data solutions for various use cases including tracking, reporting, product analytics, marketing optimization and financial reporting. By implementing dashboards, data pipelines, data structures, and data warehouse architecture, you will help shape how Mavan functions and empower clients to do the same.
Responsibilities
Qualifications
About MAVAN
MAVAN is a growth studio that operates across the entire funnel. We unlock growth through consumer/competitive research, creative strategy/production, paid acquisition/data and analytics, landing page/product optimization, lifecycle marketing, and technology. MAVAN’s exclusive on-demand talent network of 250 specialized experts, allows us to pull in specialists as needed to scale with the unique needs of any company. Our specialists are from some of the most successful tech and consumer companies, including Google, Apple, Uber, Square, Activision, Nike, Red Bull, Dropbox, and more.
We’ve unlocked multibillion-dollar businesses, scaled massive global teams, and collectively managed over $2.7 billion dollars in paid media over the last 5 years. Our process is informed by structured testing, competitive research, and detailed analysis informed by experts across the entire funnel.
We are profitable, have shown exponential growth over the last 2 years, and have a wide variety of benefits including:
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Explainer Video
DISCLAIMER: MAVAN will only contact you via LinkedIn or email using the mavan.com domain for job openings and job offers. Any communication from other domains, applications, or platforms is NOT from the MAVAN team and is not representative of any communication with the MAVAN team. If you receive any communication from parties pretending to be MAVAN using domains other than mavan.com, MAVAN is not responsible for the communications contained within. If you suspect someone is impersonating the MAVAN team, please forward those communications to legal@mavan.com.
Full Time|Part Time
$113k-139k (estimate)
01/27/2024
04/27/2024
mavanetwork.com
Madison, WI
<25
The job skills required for Data Engineer - (Full Time / Part Time) include SQL, Python, Data Engineering, Analysis, Java, Data Quality, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer - (Full Time / Part Time). 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 - (Full Time / Part Time). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer - (Full Time / Part Time) positions, which can be used as a reference in future career path planning. As a Data Engineer - (Full Time / Part Time), 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 - (Full Time / Part Time). You can explore the career advancement for a Data Engineer - (Full Time / Part Time) 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.
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.