5 Data Analytics Engineer Jobs in Bloomington, IL
State Farm is Hiring a Data Analytics Engineer Near Bloomington, IL
As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.
We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!
Visit our Careers page for more information on our benefits, locations and the process of joining the State Farm team!
This is a "Hybrid" position, which means selected candidates will be assigned to a facility and will spend some time working both in office and from their home.Office Locations:
- Bloomington, Illinois; Dunwoody, Georgia; Richardson, Texas; Tempe Arizona
- Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity****
Currently hiring for multiple openings. Team placement will be aligned based on candidate’s individual expertise.
As a Data Engineer you will:
- Work closely with data scientists and business experts to develop modeling solutions for actuarial and underwriting business problems
- Building and maintaining data pipelines for the development, implementation, execution, validation, monitoring, and improvement of data science solutions
- Establish business domain knowledge for State Farm data sources
- Investigate, recommend, and initiate acquisition of new data resources from internal and external data sources
- Identify critical and emerging technologies, techniques, tools, data sources, and platforms in the data engineering field, including cloud-based solutions, that support and extend quantitative analytic deployment solutions
- Up-to-date expertise in data engineering practices. Ability to provide solutions for the identification, acquisition, cleansing, profiling, and ETL (extracting, transformation, and loading) of data used in data science discovery and deployment solutions
- Conformance with State Farm data management and governance policies
- An understanding of the basics of predictive analytics/statistical models/machine learning models
- Developing and maintaining an effective network of both scientific and business contacts/knowledge
- Strong business acumen and the technical ability to acquire, transform and interpret complex data
- Excellent communication skills and the ability to work with multiple, diverse stakeholders across business areas and leadership levels
- Willingness to learn and adapt in agile development environment
- Ability to learn and share new technical concepts quickly
- A minimum of 3 years’ relevant work experience
- Bachelor’s Degree in Computer Science or a related field
- AWS Certification(s)
- Experience working with P&C data
- Experience with version control (e.g., GitHub, GitLab)
- Hands on GitOps experience
- Familiarity with the Python programming language and Object Oriented Design
- Experience working in AWS/Cloud Concepts, Hadoop, or LINUX
- Experience with gathering and creating analytic business requirements, researching potential data sources (both internal and external sources), designing, developing and maintaining data assets
- Familiarity with building SQL and No-SQL queries
- Knowledge of version control and DevOps tools such as GitLab
- Technical/Functional Expertise
- Critical Thinking
- Teamwork
- Adaptability
- Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity****
Job Summary
Full Time
Insurance
$105k-129k (estimate)
05/27/2023
07/20/2024
jimrichey.com
West Union, OH
<25
Insurance
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The job skills required for Data Analytics Engineer include Python, Data Engineering, AWS, Computer Science, Data Science, Programming Language, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Analytics 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 Analytics Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Analytics Engineer positions, which can be used as a reference in future career path planning. As a Data Analytics 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 Analytics Engineer. You can explore the career advancement for a Data Analytics Engineer below and select your interested title to get hiring information.
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