The Hartford
Associate Data Engineer
The Hartford, Hartford, Connecticut, us, 06112
Assoc Data Engineer - GE08BE
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.Group Benefits – Enterprise Data Services is undergoing a transformation to Cloud, and we are looking for an enthusiastic Data Engineer to join our team. As a Data Engineer you will work on implementing complex data projects focusing on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. You will develop and implement Proof of Concepts (PoCs), generic frameworks, and real-time pipelines, using SQL, Amazon Web Services (AWS), ETL tools, Snowflake, and Python. Introduce automation into software application development using Continuous Integration/Continuous Delivery (CI/CD) methodologies.Responsibilities:
Design, develop, and maintain data pipelines for extraction, transformation and loading processes using ETL tools, R/Python in Cloud and Oracle environments to support data analytics and reporting efforts.Integrate and aggregate complex data from multiple data sources and platforms to enhance customer access to information and promote a data-driven culture.Incorporate core data management competencies including data governance, data security and data quality.Collaborate with Business Intelligence team and Data Engineering lead to establish a strategic end-to-end solution and to ensure data assets meet reporting and analytics requirements.Develop & deploy analytical solutions leveraging machine learning technologies.Develop and support the migration activities of the reporting assets in Oracle assets to Snowflake.Collaborate with the Enterprise Data teams to provide user acceptance testing, maintain data quality, and advance the technical toolset.Develop and maintain data analytics tools and frameworks.Stay up to date with emerging data technologies and industry best practices.Demonstrate a strong willingness to explore and leverage new tools and technologies as per project needs.Qualifications:
Must be authorized to work in the U.S.Bachelor’s degree in computer science, Data Engineering, or a related fieldMinimum 2 years of experience as a Data Engineer, with a strong track record in quantitative, analytical and data manipulation skillsExperience with ETL tools (Informatica, Talend)Unit, interface and end user testing concepts and tooling (functional & non-functional)Confident, self-starter capable of independently driving multiple concurrent projects to completion.Knowledge on any Cloud tech stackAdvanced knowledge of SQL as it pertains to data & analytics and reporting.Experience with any scripting or programming language – Python, JavaScript etc.Experience with Test automation & DevOps toolsKnowledge of Agile Scrum/SAFE methodologyEffectively use collaboration tools like Rally, Jira etc.Nice to Have:
JavaScript/React/Angular experience a huge plus.Experience with any of the reporting tools – Tableau, Business Objects, Micro-StrategyInsurance & Financial services domain knowledgeKnowledge of AWS cloud technology – Code Build, Code Pipeline, ContainersCompensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $70,640 - $105,960Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeAbout Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits
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We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.Group Benefits – Enterprise Data Services is undergoing a transformation to Cloud, and we are looking for an enthusiastic Data Engineer to join our team. As a Data Engineer you will work on implementing complex data projects focusing on collecting, parsing, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. You will develop and implement Proof of Concepts (PoCs), generic frameworks, and real-time pipelines, using SQL, Amazon Web Services (AWS), ETL tools, Snowflake, and Python. Introduce automation into software application development using Continuous Integration/Continuous Delivery (CI/CD) methodologies.Responsibilities:
Design, develop, and maintain data pipelines for extraction, transformation and loading processes using ETL tools, R/Python in Cloud and Oracle environments to support data analytics and reporting efforts.Integrate and aggregate complex data from multiple data sources and platforms to enhance customer access to information and promote a data-driven culture.Incorporate core data management competencies including data governance, data security and data quality.Collaborate with Business Intelligence team and Data Engineering lead to establish a strategic end-to-end solution and to ensure data assets meet reporting and analytics requirements.Develop & deploy analytical solutions leveraging machine learning technologies.Develop and support the migration activities of the reporting assets in Oracle assets to Snowflake.Collaborate with the Enterprise Data teams to provide user acceptance testing, maintain data quality, and advance the technical toolset.Develop and maintain data analytics tools and frameworks.Stay up to date with emerging data technologies and industry best practices.Demonstrate a strong willingness to explore and leverage new tools and technologies as per project needs.Qualifications:
Must be authorized to work in the U.S.Bachelor’s degree in computer science, Data Engineering, or a related fieldMinimum 2 years of experience as a Data Engineer, with a strong track record in quantitative, analytical and data manipulation skillsExperience with ETL tools (Informatica, Talend)Unit, interface and end user testing concepts and tooling (functional & non-functional)Confident, self-starter capable of independently driving multiple concurrent projects to completion.Knowledge on any Cloud tech stackAdvanced knowledge of SQL as it pertains to data & analytics and reporting.Experience with any scripting or programming language – Python, JavaScript etc.Experience with Test automation & DevOps toolsKnowledge of Agile Scrum/SAFE methodologyEffectively use collaboration tools like Rally, Jira etc.Nice to Have:
JavaScript/React/Angular experience a huge plus.Experience with any of the reporting tools – Tableau, Business Objects, Micro-StrategyInsurance & Financial services domain knowledgeKnowledge of AWS cloud technology – Code Build, Code Pipeline, ContainersCompensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $70,640 - $105,960Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/AgeAbout Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits
#J-18808-Ljbffr