OverviewWe 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 may be considered for 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, ILResponsibilitiesThe Centralized Modeling Platform Adoption team is seeking a talented Data Engineer to remove data access barriers for AIML and Business Intelligence tool users. To be successful in this role, the engineers must be a big picture, strategic thinker who can drive resolution of complex data challenges. We need an exceptional communicator, passionate about data, collaborative, analytical, and a problem-solver who has expertise related to data engineering concepts.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.QualificationsAt least 5 years of experience in data engineeringStrong proficiency in Python and SQLExperience with data warehousing and ETL toolsFamiliarity with cloud computing platforms, such as AWSKnowledge of data modeling and data visualization techniquesExcellent problem-solving, analytical, communication, and interpersonal skillsFor Los Angeles candidates: Pursuant to the Los Angeles Fair Change 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:Compensation Range: $85,500-$201,300For California, New York, and Connecticut candidates:Potential salary range: $85,500 – $228,750Potential yearly inventive pay: up to 15% of base salaryCompetitive Benefits including:401k PlanHealth InsuranceDental/Vision plansLife InsurancePaid Time OffAnnual Merit IncreasesTuition ReimbursementHealth Initiatives#LI-Remote#LI-BS1SFARM
Associated topics: data administrator, data center, data integration, data manager, data scientist, hbase, mongo database, mongo database administrator, sybase, teradata
data-modeling SQL data-warehouse Python Amazon Web Services (AWS) ETL data-visualization