Sr. Big Data Engineer & Application Developer
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Data Discovery and Decision Science (D3) is the research and analytics organization at Allstate. We are solving some of today's most complicated analytics problems, making the lives of our of Allstate colleagues easier and more productive, and driving our mission to deliver perfect insurance solutions to our customers. We are avid about learning new ways to get the most value from our massive data resources. As a Big Data Engineer in D3 you will get 10% of your time to innovate, learn, collaborate, and teach. We are partnering to incorporate analytics into every aspect of the enterprise. Developing ourselves and others is key to our success.
This role is responsible for leading efforts of medium to high complexity and critical tracks of delivery of Big Data platforms to make decisions. This includes the development and recommendation of new Big Data systems for analyzing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; searching for and integrating new tools to improve descriptive, predictive, and prescriptive analytics; and discovery of new technical challenges that can be solved with existing and emerging Big Data hardware and software solutions. This role will also include project management of complex projects. This role contributes to the structured and unstructured Big Data / Data Science tools of Allstate from traditional to emerging analytics technologies and methods. The role is responsible for assisting in the recruitment, selection, mentorship and development of other team members.
- Make major contributions to the Big Data direction and strategy for the group in partnership with their peers.
- Executes highly complex functional work tracks for the team. Drives the execution of operational/technical objectives for data analytic outputs and business solutions.
- Is an active and influential technical leader and a recognized Big Data expert within the department.
- Partners with Allstate Technology teams on Big Data efforts.
- Partners closely with department peers to ensure holistic Big Data solutions for our data science community and analytic users.
- Identifies new areas of data, research and Big Data technology that can solve business problems
- Utilize effective project planning techniques to break down complex projects into tasks, manage scope of projects, and ensure deadlines are kept
- Leverages, contributes and uses Big Data best practices / lessons learned to develop technical solutions used for descriptive analytics, ETL, predictive modeling, and prescriptive "real time decisions" analytics
- Influences within the department on the effectiveness of Big Data systems to solve their business problems.
- Develops technical solutions using Big Data techniques in data & analytics processes.
- Supports Innovation; regularly provides new ideas to help people, process, and technology that interact with analytic ecosystem.
- Develops and builds frameworks/prototypes that integrate Big Data and advanced analytics to make business decisions.
- Implements new areas of Big Data technologies, (ingestion, processing, distribution) and research delivery methods that can solve business problems.
- Understands the Big Data related problems and requirements to identify the optimal technical approach.
- Works with D3peers to ensure efforts within owned tracks of work will meet their needs.
- Identifies and develops Big Data sources & techniques to solve business problems.
- Co-mingles data sources to lead work on data and problems across departments to drive improved business & technical results through designing.
- 3 - 5 Years of experience or equivalent skills & ability
- Master's or PhD preferred in a quantitative or scientific field such as computer science, computer engineering or equivalent experience.
- Experience in using software development to drive data science & analytic efforts.
- Experience with database & ETL technologies.
- Experience with various data types (e.g. Relational, Unstructured, Hierarchical, and Linked "Graph" Data).
- Experience in developing, managing, and manipulating large, complex datasets.
- Experience in working with statistical software such as SAS, SPSS, MatLab, R, CART, etc.
- Proven ability to code and develop prototypes in languages such as Python, Perl, Java, C, R, SQL, and XSLT.
- Ability to communicate and present advanced technical topics to general audiences.
- Leading project teams of various skills levels.
- Understanding of predictive modeling techniques a plus.
The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen.
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As a Fortune 100 company and industry leader, we provide a competitive salary – but that's just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you'll have access to a wide variety of programs to help you balance your work and personal life -- including a generous paid time off policy.
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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.
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