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Berkley Medical Management Solutions (BMMS) provides a different kind of managed-care service for W.R. Berkley Corporation. We believe focusing on an injured worker’s successful and speedy return to work is good for people and good for Berkley’s insurance operating units. BMMS was first started in 2014 by reimagining the relationship between medical need and technology as a way to deliver the best outcome for injured workers and Berkley’s operating units. Our goal was clear: combine solid clinical practices, proven return-to-work strategies and robust software into one system for seamless management of workers’ compensation cases.
To get it right, we started with a flexible technology platform that allowed for impressive customization without sacrificing the ability for expansion and continued innovation. We deploy integrated systems to give W.R. Berkley Companies recommendations and professional services for managing each individual case in an efficient and appropriate manner. The power of our technology takes medical bill-review services and clinical advisory services to a new level. Our unique marriage of technology, software platforms, data analytics and professional services ensures we provide Berkley’s operating units with reliable results, and reduced time and expenses associated with case management.
As a Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within our organization. You will be responsible for expanding and optimizing data, the data pipeline architecture, the data flow and collection for cross functional teams. As a crucial part of the business, you will guide and support our software developers, data analysts on business initiatives while ensuring optimal data delivery architecture is consistent. Whether it’s working on a solo project or with the team, you are self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
Core Competencies
Skills and Experience
Education
Travel Requirements
Other
Wholesale
$114k-140k (estimate)
09/02/2023
04/03/2024
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, Python, Computer Science, Insight, Azure, Agile, 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.