Data Engineer

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

This role is responsible for the use and development of data infrastructure projects & proof of concept business solutions for users in analytics and Data Science. This person works directly with data scientists and analytic engineers on needs and tactical solutions. This role will execute new data engineering work tracks for Data Science and analytics from inception and prototyping to fully developed solutions.

• Builds test scripts, executes testing, works with data scientists and business to ensure end user acceptance
• Leverage “agile” data analysis with technology fluency in parallel processing/programming, software/programming languages and technologies (i.e. Oracle, SQL, Python, and Spark), paired with a high degree of analytic agility to be able to meet fluid and dynamic business needs in this space.
• Execute rapid development of new data and analytic work tracks with fast iteration over quick sprints
• Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics with minimal supervision.
• Mentor other team members in a business technical environment and promote an environment that supports innovation and process improvement.
• Participate in the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data.
• Participate in the development of new concepts, proof of concept designs, and prototypes for business or research data solutions so that business users or predictive modelers may visually understand and explore a new feature or functionality before implementation to expose design assumptions and drive ideation.
• Work with Data Scientists and business partners on cross functional teams; developing subject matter expertise in the business as well as advanced analytics.
• Provide support on requirement development for analytic data sources, breaking down business problems into solvable components and assist with documenting requirements with minimal supervision.

• 2 or more years of experience (Preferred)

• This job does not have supervisory duties.

• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

Analytics, Communication, Computer Programming, Data Analytics, Data Engineering, Data Reporting, Product Road mapping, Structured Query Language (SQL)

Compensation offered for this role is 75,100. annually and is based on experience and qualifications.

The candidate(s) offered this position will be required to submit to a background investigation.

Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.

Allstate generally does not sponsor individuals for employment-based visas for this position.

Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.

It is the Company’s policy to employ the best qualified individuals available for all jobs. Therefore, any discriminatory action taken on account of an employee’s ancestry, age, color, disability, genetic information, gender, gender identity, gender expression, sexual and reproductive health decision, marital status, medical condition, military or veteran status, national origin, race (include traits historically associated with race, including, but not limited to, hair texture and protective hairstyles), religion (including religious dress), sex, or sexual orientation that adversely affects an employee's terms or conditions of employment is prohibited.

This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.