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Software Engineer

Softpros, Inc.

This is a Full-time position in Austin, TX posted July 12, 2021.

The Hartford is seeking an experienced Analytics Software Engineer, to join our Analytical Tools team. The candidate will be part of our growing Data Analytics community providing technical solutions to The Hartfordrsquos Personal Lines division. This role requires a combination of software engineering and data engineering skills with a focus on developing interactive analytical applicationsmdashdata science, machine learning, simulation, actuarialmdashto support pricing, product, and marketing functions. You will be responsible for the full software development life cycle, including application development, testing, release, production monitoring, etc. You should have the ability to manage multiple priorities, including both planned and ad-hoc tasks, in a fast-paced environment. Analytics Software Engineers are expected to closely engage with technical and business teams across Personal Lines. As a result, you will eventually need to learn certain data science practices, such as the deployment of predictive models, as well as basic pricingactuarial concepts. This is an excellent opportunity to gain exposure to data science, machine learning, and big data. Itrsquos also a great avenue for exploring the pricing and product side of personal automobile and homeowner insurance. Location Hartford (Connecticut) or Charlotte (North Carolina). Alternatively, option of 100 remote work available. Responsibilities Lead the development and maintenance of analytical applications, often with interactive web-based interfaces, using a variety of programming languages. Testdebug and peer review code developed by all members of the team. Support ad-hoc technical requests, e.g. coding and querying, from business partners. Extract data from various sources and build ETL pipelines for further analytical consumption. Perform exploratory data analysis to evaluate and rectify nulls, duplicates, inconsistencies and other issues with data. Provide extensive documentationmdashuser playbook, architectural diagrams, training videos, etc.mdashfor both end-users and peers. Obtain requirements and feedback from project stakeholders including data scientists, actuaries, pricing analysts, product managers, etc. Mentor junior-level peers. Work in both an independent and team-based manner. Required Experience Skills BS in a technical field such as Computer Science, Engineering, etc. Minimum 6+ years of full-time experience in software developmentengineering. Strong knowledge of Python programming. Experience querying relational data stores using SQL. Well-versed in CICD practices GitHub, Jenkins (or equivalent), automated testing, static code scanning, deployment, etc. Knowledge of Java programming. Ability to work in agile team setting using Scrum and Kanban-based formats. Preferred Experience Skills 4+ years of experience in software developmentengineering. Knowledge of the R language is a major plus. Experience extracting from distributed data systems such as Hadoop, Spark, Hive, etc. Development of interactive web-based applications using visual frameworksmdashDash, Bokeh, RShiny, React, Angular, etc.mdashis highly desired. Experience or interest in data science and machine learning practices, specifically the deployment of predictive models into production settings. Domain expertise in Property Casualty Insurance, in particular pricingratemaking concepts and related terminology. Exposure to cloud-based computing environments such as AWS, Azure, Google Cloud Platform, etc. Experience with unitintegration testing frameworks. Bonus if yoursquove worked in test-driven development environment.

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