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Company Description
Healthcare providers spend roughly $20B annually on premiums for medical professional liability (“MPL”) insurance, $5-6B of which is spent for physicians. Incumbent carriers utilize outdated risk selection, underwriting, and sales processes. For the first time in 10 years, The MPL market is currently in a hardening cycle. While incumbent carriers are increasing rates to make up for underwriting losses, the environment is ripe for an innovative disruptor to capture market share by deploying artificial intelligence.
Rubicon Founders, an entrepreneurial firm focused on building and growing transformational healthcare companies, has launched Indigo to address this issue. Backed by Oak HC/FT, this company will disrupt the medical professional liability market by offering more competitive products to providers. Benefitting from significant potential cost savings as a result, providers may reallocate resources to invest more directly in patient or staff care. This company intends to fulfill Rubicon Founder’s mission of creating enduring value by impacting people in a measurable way.
Position Description
Are you an expert data engineer with a passion for making a difference in the healthcare industry? If so, we want you to join our team at Indigo, where we're using technology to transform medical professional liability insurance. Our AI driven underwriting process and modern technology streamline the insurance process and equip quality physicians and groups with the coverage they need.
As a senior data engineer you will own the various data components of our system, which includes our data model architecture, our data pipeline / ETL, and any ML data engineering needs. You will help us leverage existing data platforms and databases with best practices to ensure that the data strategy is coherent, that our data systems are highly available, secure, and scalable. You will work with cross-functional teams including business stakeholders, product managers, and data scientists to ensure our data pipeline system meets business requirements and adheres to best practices.
We are a remote distributed team who gathers with intention. You will thrive here if you find energy working from home and getting together to build relationships. At Indigo, you'll have the opportunity to contribute to a meaningful mission that makes a difference in the lives of healthcare providers and their patients.
Responsibilities:
Requirements:
Full Time
Consumer Services
$104k-130k (estimate)
09/24/2023
06/29/2024
GREENVILLE, NC
500 - 1,000
2007
CHRIS RIDDLE
$50M - $200M
Consumer Services
The job skills required for Senior Data Engineer include Problem Solving, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior 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 Senior Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior 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 Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
03/09/2022: Billings, MT
The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
01/05/2022: Melbourne, FL
Create architecture for real-time, big data applications with minimal maintenance effort.
03/23/2022: Benton Harbor, MI
Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
01/22/2022: Greenville, MS
Provides successful deployment and provisioning of data solutions to production or other required environments.
01/12/2022: Dothan, AL
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 Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
02/06/2022: Providence, RI
Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
01/02/2022: New York, NY
Step 3: View the best colleges and universities for Senior Data Engineer.