AWS Data Engineer - Remote at State Farm #vacancy #remote

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 (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.

Hybrid work arrangement for Enterprise Technology is defined as residing with a 180-mile radius of the Hubs and Corporate.

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.

Responsibilities:

The Enterprise Technology P&C Auto/Fire Data Consumption team is seeking an initiative-taking, data led individual to join the team as a Data Engineer. As a new team member you will join a highly collaborative team to deliver on P&C business partern data consumption needs. You will be challenged in your daily work and empowered to grow professionally. We appreciate your interest in this opportunity.

  • Utilized industry-adopted languages and frameworks in coding, testing, security, DevOps, DataOps and data engineering practices.
  • Develops and maintains reusable, scalable, and compliant data solutions across multiple platforms and compute environments.
  • Maintains and continues to develop breadth of knowledge in programming (e.g., Python, Scala) and database and data storage functionality (e.g., SQL, Redshift) and applies that understanding to build reuseable data solutions.
  • Familiar with handling datasets containing structured and unstructured data.
  • Exhibits DataOps mindset where team is accountable for ensuring data aligns to enterprise needs and leveraging automation to deliver quality data solutions.
  • Collects and analyzes information to identify customers technical needs and suggests solutions.
  • Skilled and continues to develop a breadth of knowledge in data engineering topics, including ETL (Extract, Transform, Load), data integration, reusable data pipelines and data management.
  • Effective communication skills and the ability to work with multiple, diverse business partners to understand and implement new data solutions.
  • Willingness to learn and adapt in an agile development environment.

Qualifications:

Qualifications:

  • Minimum of 2-4 years of work experience in a business environment
  • Proficiency with programming languages: python and scala
  • AWS: ETL (Glue), Serverless (Lambda, Step Functions, EventBridge); Storage Solutions (S3, Redshift)
  • Terraform
  • CI/CD Automated testing and scans
  • Data Access: SQL, Athena
  • Completed Bachelor’s degree in a STEM field or work equivalent
  • AWS Practitioner certification, all others, a plus.

**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, Hawaii and Washington State candidates:

Salary Range: $99,660 – $156,200

For California, New York, and CT candidates:

Potential salary range: $113,250 – $177,500

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.

SFARM

#LI-LP1

#LI-Remote

#LI-Hybrid

CI/CD Scala Lambdas data-management Python aws-step-functions Terraform Amazon Web Services (AWS) Amazon Redshift Data Engineering Amazon Athena STEM DevOps DataOps Amazon EventBridge data-integration SQL ETL aws-glue

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