Data Analytics Engineer - Military Veterans

Data Analytics Engineer

US-IL-Bloomington

Job ID: 2024-38761
Type: Regular Full Time
# of Openings: 14
Category: Research and Data Analytics
Bloomington, IL

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 benefits, locations and the process of joining the State Farm team!

REMOTE: Qualified candidates residing outside of a 50-mile radius from a hub location listed below may be considered for 100% remote work arrangements, based on where a candidate currently resides or is currently located.

HYBRID: Qualified candidates residing within a 50-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations of 1 time per quarter. This could consist of a multi-day event per quarter depending on your leader and business need. Any business travel to your assigned hub associated with your in-office expectation would be at your own expense. Your manager will share additional details with you regarding your department’s approach and what it means for you.

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

SPONSORSHIP: 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.

As a Data Analytics Engineer you will:

• Work closely with data scientists and business experts to develop modeling solutions for various internal business partners.
• Build and maintain data pipelines for the development, implementation, execution, validation, monitoring, and improvement of data science solutions.
• Enable data driven decision making by applying data analytic techniques, and exploratory research and analysis.
• Understand data infrastructure needed to support data services and automation.
• 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 analytical solutions.

Required Qualifications:

• Completed bachelor’s degree in computer science, software engineering, data science, or related field.
• 2+ years of professional, post-internship work experience in a computer science- or technology-related field.
• Minimum of 2 years of experience with the Python 3+ programming language and relevant libraries (e.g., Pandas, Numpy).
• Practical experience with building SQL queries.
• Experience in gathering and creating analytic business requirements, researching data sources (internal and external), and developing and maintaining data assets.
• Experience with developing solutions on AWS or other distributed compute platforms.
• Ability to learn and adopt new technologies and languages.
• Experience with data analysis, particularly descriptive and exploratory analysis.

Preferred Qualifications:

• Experience with AWS technologies such as Lambda, Athena, Glue, S3, IAM, and Redshift.
• Working experience with PySpark for data manipulation and processing.
• Proficiency with building and maintaining data pipelines.
• Experience with CI/CD systems, preferably GitLab.
• Familiarity with the model development life cycle.
• Experience with infrastructure as code, preferably with Terraform.
• Understanding of Generative AI technologies such as vector databases and RAG.
• Strong communication skills and the ability to collaborate closely with different roles including data scientists, machine learning engineers & other business partners.

The Selection Process:

1. After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you may progress to the next stage of the selection process.
2. The initial assessment will involve a take-home work assignment. This assignment will allow you to showcase your skills and abilities in a practical setting. Once you have completed and submitted the take-home work assignment, our team of experienced Data Analytics Engineers will evaluate your results.
3. If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
4. Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: a final loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills, and experiences.

What Else?

• Competitive Benefits, Pay and Bonus Potential
• Volunteer opportunities: Get involved and give back to the community!
• Continuing Education Support: We support opportunities for you to learn and grow!
• A Learning Culture: Mentoring, Professional Designations, Employee Development, and more!
• Exceptional 401k Plan
• We embrace Diversity and Inclusion: We are one team, and it is simply the right thing to do!

We appreciate your interest in joining our team as a Data Analytics Engineer.

For Colorado and Washington State residents (geographic differential may apply): Salary Range: $99,660- 184,800| Potential yearly incentive pay up to 15% of base salary
For some California, New York, and CT residents (geographic differential may apply): Salary Range: $113,250-210,000 | Potential yearly incentive pay up to 15% of base salary
For Hawaii residents: Salary Range: Salary Range: $ 90,600-$168,000| Potential yearly incentive pay up to 15% of base salary
For Los Angeles candidates: Pursuant to the Los Angeles Fair Chance Initiative for Hiring, we will consider for employment qualified applicants with criminal histories.
For San Francisco candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application deadline is expected to close at 11:59 PM CDT DATE. Applicant volume and hiring needs may result in early closure or extension beyond the listed deadline. To submit an application, click "Apply" on the job listing page on the State Farm career site.

Competitive Benefits, including:

401k Plan

Health Insurance

Dental/Vision plans

Life Insurance

Paid Time Off

Annual Merit Increases

Tuition Reimbursement

Health Initiatives

For more details visit our benefits summary page.

SPONSORSHIP: 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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