Senior Data Engineer

The Hartford
The Hartford

Job Overview

You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you’ve landed in the right place.Senior Data EngineerPosition DescriptionThe Hartford is looking for a driven and motivated Senior Data Engineer to join our Commercial Data Science team. The candidate will be part of our growing Data Science community providing analytical solutions to The Hartfords portfolio of data assets. Our challenging business problems require our team members to be excellent problem solvers and have a robust skillset beyond technical requirements. Were looking for someone energized to be a part of our purpose by providing clever ideas, delivering thoughtful solutions, and harnessing new-age technology.Overview of the PositionThe Commerical Data Science team is committed to exploring new ways to use data and analytics to solve business problems. The team utilizes a wealth of data, both internal and external, and predictive analytics in order to enhance claim outcomes, processes and the customer experience.As a Senior Data Engineer, you will be a key contributor to the team by partnering closely with expert resources to design, develop, and implement data assets for a wide range of new initiatives in Claims. The role involves heavy data exploration, proficiency with SQL queries, and the ability to discover and learn quickly through collaboration and independently. There is a need to think analytically and outside of the box while questioning current processes and continuing to build on the individuals business acumen.There will be a combination of team collaboration and independent work efforts. This role involves interaction with data science partners as well as a wide range of business areas which include claims and IT. We seek candidates with strong quantitative background and excellent analytical and problem solving skills. This position combines business and technical skills involving interaction with business customers, data science partners, internal and external data suppliers and information technology partners.Responsibilities+ Identify and validate internal and external data sources for availability and quality. Work with SMEs to describe and understand data lineage and suitability for a use case.+ Create data assets and build data pipelines for further analytical consumption. Perform data analysis to ensure quality of data assets.+ Create summary statistics/reports from data warehouses, marts, and operational data stores.+ Extract data from source systems, and data warehouses, and deliver in a pre-defined format using standard database query and parsing tools.+ Understand ways to link or compare information already in our systems with new information.+ Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources.+ Work with data scientists to understand the requirements and propose and identify data sources and alternatives.+ Produce code artifacts and documentation for reproducibility, preferably utilizing Github, and hand-off to other data science teams.+ Propose ways to improve and standardize processes to enable new data and capability assessment and to enable pivoting to new projects.+ Understand data classification, and adhere to the information protection and privacy restrictions on data.+ Collaborate closely with data scientists, business partners, data suppliers, and IT resources.Experience & SkillsCandidates must have the technical skills to transform, manipulate and store data, the analytical skills to relate the data to the business processes that generates it, and the communication skills to document & disseminate information regarding the availability, quality, and other characteristics of the data to a diverse audience. These varied skills may be demonstrated through the following:+ Bachelor degree or equivalent experience in a related quantitative field+ 5+ years of experience in a data engineering function+ Experience accessing and retrieving data from disparate large data sources, by creating and tuning SQL queries.+ Understanding of data modeling concepts, data warehousing tools and databases (e.g. Hadoop, Spark/PySpark, ETL, Big Data, ORACLE, and Hive)+ Ability to analyze data sources and provide technical solutions. Strong exploratory and problem solving skills to check for data quality issues.+ Demonstrated ability to create and deliver high quality code using software engineering best practices. Experience with object oriented programming languages and/or Python is a plus.+ Determine business recommendations and translate into actionable steps+ Ability to work both independently and in a team environment with internal customers+ Ability to articulate and train technical concepts regarding data to both data scientists and partnersEqual Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeSr Data Engineer – GE07BEHuman achievement is at the heart of what we do.We believe that with the right encouragement and support, people are capable of achieving amazing things.We put our belief into action by ensuring individuals and businesses are well protected, and by going even further making an impact in ways that go beyond an insurance policy.Nearly 19,000 employees use their unique talents in careers that span a variety of disciplines from developing the latest technology to creating and promoting our products to evaluating future financial risks.Were also committed to programs that drive education and support volunteerism, which put human beings first. We do it because its the right thing to do, and because when our customers, communities and employees succeed, we all do.

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