Data Engineer

Job Description

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.

Job DescriptionThis role is responsible for driving 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. This role will also begin to manage projects of small to medium complexity.

Key ResponsibilitiesParticipate 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. Mentor other team members in a business technical environment and promote an environment that supports innovation and process improvement.

Provide support on requirement development for analytic data sources, breaking down business problems into solvable components and assist with documenting requirements with minimal supervision. Execute rapid development of new data and analytic work tracks with fast iteration over quick sprintsWork with Data Scientists and business partners on cross functional teams; developing subject matter expertise in the business as well as advanced analytics. Leverage “agile” data analysis with technology fluency in parallel processing/programming, software/programming languages and technologies (i.

e. Oracle, MongoDB, SQL, Python, Spark, Kafka, Scala and Hadoop), paired with a high degree of analytic agility to be able to meet fluid and dynamic business needs in this space. Participate in the development of enterprise data assets, information platforms or data spaces designed for exploring and understanding the data.

Help develop and deliver the data infrastructure required to support needs of predictive modeling and analytics with minimal supervision. Builds test scripts, executes testing, works with data scientists and business to ensure end user acceptance.

Communicate data quality findings and remediation plans effectively with key end users. Education4 year Bachelors DegreeExperience2 or more years of experience (Preferred)Supervisory ResponsibilitiesThis job does not have supervisory duties. Education & Experience (in lieu)In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

#LI-JB1SkillsAnalytical Research, Communication, Computer Programming, Data Analytics, Data Engineering, Managing Ambiguity, Problem Solving, Python (Programming Language)CompensationCompensation offered for this role is $76,200. 00 – 134,550. 00 annually and is based on experience and qualifications.

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