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Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States. Along the way, we have been listed on the New York Stock Exchange, seen our revenue soar well past $7 billion, and become a well-respected Fortune 500 Company.
Today, the Berkley brand comprises 54 Berkley companies worldwide. Still managed by our founder and largest shareholder, W. R. Berkley Corporation is well-positioned to respond to opportunities for future growth.
Berkley Regional Shared Services is an innovative provider of technology and business services for the Berkley Regional Segment of companies. If you are looking to join a fast-paced, energetic and passionate team with room for professional growth and development – Berkley may be a great fit for you.
The Company is an equal employment opportunity employer. #LI-AV1 #LI-Hybrid
This role will be based in our Urbandale, IA, Glen Allen, VA or Irving, TX office. We offer a hybrid work schedule with 4 days in the office; and 1 day remote where it makes sense to do so.
As a Data Engineer, you will be responsible for data development at a moderately complex level such as ETL, cube creation, adhoc and management reporting, dashboard and data extract creation. You'll work within a team environment that provides data resource development and support for several companies. You will be responsible for analyzing, designing and coding solutions for rapidly growing companies supporting the property & casualty insurance industry.
You'll work within a small high-performing team where collaboration is encouraged. Your role will be critical to the organization as you work directly with business stakeholders to garner requirements that ultimately improve how our decision strategy and business operations. Our tech stack has been modernized and we continue to transform to improve performance.
What you can expect:
We'll count on you to:
What you need to have:
What makes you stand out:
Other
Wholesale
$97k-120k (estimate)
04/11/2023
01/22/2025
goberkley.com
BENTONVILLE, AR
50 - 100
2012
ERIC BERKLEY
<$5M
Wholesale
Founded in late 2012 with an entrepreneurial family spirit, we have grown into an experienced, exciting and fast-moving company. We have evolved from Eric and Jeff strategizing and calling potential customers in a home office, into a strategic advisor helping our customers sell more product online and in store. Our teams deep knowledge of Amazon and Retail allow us to provide strategic and scalable solutions to help your business succeed. We also design and manufacture packaging and run our own warehouse logistics operations with a national footprint. We have fun bringing your brand into the h ...
ands of consumers. We have the experience and expertise; we know how to successfully navigate the e-Commerce and Retail eco-systems.
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The job skills required for Data Engineer include SQL, Insight, Innovation, 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.
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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 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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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.