Data Engineer

1 month ago

Bloomington Illinois, United States State Farm Full time
Overview:
We are not just offering a job but a meaningful career Come join our passionate team

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 , and of joining the State Farm team

 

Office Location(s):  Bloomington, IL; Dunwoody GA; Richardson, TX; Tempe, Arizona or Remote

 

Hybrid Work Arrangement:   In this position, you should plan to spend time working in the office and remotely (with the ability for same day travel to and from your assigned office location) as part of a hybrid work arrangement. Work arrangements could change over time based on business need. Your manager will share additional information regarding your department’s approach and what it means for you.

 

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 

 

 

Responsibilities:
A major focus will be on developing innovative data solutions to help multiple business areas analyze and understand the financial and business realities impacting State Farm.  As a Data Engineer, you will utilize emerging technologies and play an integral role in helping business partners make data-driven decisions to drive pace. 

As a Data Engineer you will:

Work closely with technology and business customers to develop future data capture, storage, movement, and analytic asset development efforts, with a focus on cloud solutions

Provide intelligent data management and pipeline solutions for the development, implementation, execution, validation, monitoring, and improvement/reusability of analytic solutions

Identify critical and emerging technologies, techniques, tools, data sources, and platforms in the data engineering field, including cloud-based solutions, that support and enhance quantitative analytic solutions. 

 

Qualifications:
Required Skills:

Experience or ability to rapidly gain domain knowledge in multiple areas including Claims, P&C, Underwriting and Life

Experience in programming languages such as SAS, Python, Spark SQL, R, Java, etc.

Experience with relational database technologies and data warehousing concepts (e.g., DB2, Postgres, Oracle)

Experience with developing solutions on AWS and/or other large data platforms such as Hadoop

Experience with legacy mainframe solutions

Experience with version control (e.g., GitHub, GitLab)

Ability to learn and adopt new technologies and languages

Critical thinking skills to challenge current thinking and apply right technology to solve problems.

 

Preferred skills:

Any experience with AWS data storage solutions (e.g., S3, Redshift)

Any experience with Power BI, Quicksight, Qlik, SAS

Any experience with data access (e.g., SQL, Athena)

Any experience with infrastructure as code/ using deployment automation technologies (e.g., Terraform)

Any experience with CI/CD pipelines

Any experience with GitOps

Any experience with scripting language: Bash, Python etc.

Any experience with data analytic solutions like PCADSS and Claims Data Mart

 

In addition to having both legacy and modern platform and programming experience, the following skills are also highly desired:

Innovative and Growth Mindset

Data Management Knowledge & Experience

Product Management and Agility

Business and Customer Focused

 

Competencies:

Adaptability

Communication

Critical Thinking

Initiative

Relationship Building

Teamwork

Technical/Functional Expertise

 

 

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 

 

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