State Farm

REMOTE Data Engineer

Job description


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 (outside of hub locations listed below) may be considered for 100% remote work arrangements based on where a candidate currently resides or is currently located.

HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

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

Check out our Enterprise Technology department!


The Data Visualization team is seeking a talented and creative Data Engineer to evaluate and enable data technologies that transform data into meaningful insights across the Enterprise. To be successful in this role, the engineer must be a strategic thinker and can bring a data-driven approach to solving complex business problems. We need an exceptional communicator, passionate about data, collaborative, analytical, and a problem-solver who has expertise related to business intelligence (BI) tooling.

As a Data Engineer in this role you will get to:
  • Position data and perform data analysis for use in visualizations that will provide insights into business opportunities.
  • Interface with the business areas that are sourcing the data for the various analytical insights.


Highly desired skills:
  • At least 5 years of experience in data engineering
  • Strong proficiency in Python and SQL
  • Experience with data warehousing and ETL tools
  • Familiarity with cloud computing platforms, such as AWS
  • Knowledge of data modeling and data visualization techniques
  • Excellent problem-solving, analytical, communication, and interpersonal skills

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

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.

For Colorado and Washington State candidates:

Salary Range: $84,620.00-$169,250.00

For California, NYC, and CT candidates:

Potential salary range: $84,620.00-$169,250.00

Potential yearly incentive pay: up to 15% of base salary

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


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