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Local candidates only. This opportunity does not provide Visa sponsorship. No corp to corp applicants please. Candidate must be available to work on our W2.
Data Engineer
Data applications are critical to our success, powering many aspects of our marketplace and supporting products. We are looking for data engineers who will build, migrate and maintain data pipelines. In this role, you’ll expand and refactor the data sets that generate and transform data into applications, insights, and experiences for our users.
The work includes:
? Refactoring existing and build new data pipelines
? Migrating existing data sets into next-gen reporting frameworks and tools
? Using existing data tools and frameworks to configure reports and metrics
? Developing and automating large scale, high-performance data processing systems to drive our business growth and improve the product experience
? Building and refactoring scalable data pipelines on top of Hive and Spark leveraging Airflow scheduler/executor framework
We are looking for engineers with:
? Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and drive effective product solutions
? Experience designing and deploying high performance systems with robust monitoring and logging practices
? Experience building high performance data pipelines
? Nice to have: proven ability to think critically about team direction and use analysis to inform that
? Experience using machine learning is a plus, but not required.
? Excellent communication skills, both written and verbal
Other
$127k-156k (estimate)
06/09/2022
05/30/2024
The job skills required for Data Engineer include Analysis, Insight, Machine Learning, Data Processing, Communication Skills, 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.