Do you crave innovation and want to work for a company that is the BEST at what they do in the industry?
Does the opportunity to maintaining a work life balance appeal to you? Then we have the perfect job for you! We are seeking software engineers who push the envelope and strive to create the best product possible. This position will allow you to utilize different technologies, languages, and frameworks to drive solutions while working on inclusive teams that foster diversity of thought. You will be provided opportunities via in house training programs for upskilling to support your development and career goals!
Responsibilities
The Enterprise Data Assets team maximizes the value of data by unlocking its power in consistent and simplified ways to create insights used to solve some of our most complex business problems. As a Lead Data Engineer, you will utilize emerging technologies and play an integral role in helping business partners across the enterprise make data-driven decisions to enable State Farm's continued success.
As a Lead Data Engineer your responsibilities will include:
Applying in-depth knowledge of data engineering tools, processes, applications, programming languages, and environments to lead strategic work
Utilizing data and application architecture to increase efficiency and effectiveness of solutions aimed at solving complex business problems
Applying in-depth knowledge of data engineering practices including Extract, Transform, Load (ETL); data integration; data pipelines; data management; and data storage functionality to design and build reusable data solutions
Maintaining deep understanding in software engineering topics including classes, functions, security, containers, version control, CI/CD, and testing best practices
Demonstrating understating of business customer needs and the competitive landscape we operate in Influencing and providing direction on product development practices, coding, data, and testing standards
Mentoring, driving, coordinating, and delegating work to other team members as required
Qualifications
Competitive candidates have the following skills/experience:
5+ years of Data Engineering experience, or equivalent.
5+ years of experience with programming and scripting languages including Bash, Java, Python 2 or 3, SQL, Scala, SAS
Strong proficiency with developing solutions on AWS (S3, Redshift, Lambda, Athena, Glue) and other data analytic platforms
Experience with version control and DevOps platforms such as GitHub and GitLab
Experience with CI/CD Pipelines and SDLC best practices
Experience using deployment automation technologies including Terraform
Strong relationship-building skills
Ability to articulate technical and non-technical concepts in simple and consumable ways
Learning agility and a demonstrated track record of continuous learning
Experience working in an Agile/Scrum team-based environment
Join State Farm!
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 ourfor more information on our , and of joining the State Farm team!
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
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
