Data and Business Intelligence Engineer

Data Engineer - GE08AE

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.

Join a fast-paced and talented Agile team in The Hartford's Enterprise Data Organization to unlock Data Capabilities for our Group Benefits business. You will have an opportunity to participate in the entire software development lifecycle process in support of continuous data delivery, while growing your knowledge with emerging technologies. We use the latest data technologies, software engineering practices, Agile delivery framework, and are passionate about technology and building well architected and innovative solutions that drive optimal business value generation.

This cutting-edge and forward focused team presents the opportunity for collaboration, self-organization within the Scrum Team and visibility as we focus on continuous Business data delivery.

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).

What's in it for you?

• Experience deeper understanding of Data analytics, Emerging technologies and Development practices
• Collaboration with a high-performing, forward-focused team, Product Owner(s) and Business stakeholders engagement
• Opportunity to expand your communication, analytical, interpersonal, and organization capabilities
• Experience working in a fast-paced environment - driving business outcomes in Agile ways of working
• Enable and influence the timely and successful delivery of business data capabilities and/or technology objectives
• Enhance your entrepreneurial mindset - network opportunity and influencing outcomes
• Hone your development skills using various tools such as Snowflake, Informatica, B2B, PL/SQL, Hadoop, etc. to build data assets that enable business value generation
• Appreciation and opportunity to learn and support rapid software construction and deployment using DevOps and Cloud based future technologies
• Supporting environment that fosters can-do attitude and opportunity for growth and advancement based on consistent demonstrative performance
• Optimize business value by leveraging your DATA experience and depth
• Be part of a Scrum Team - driving work independently or collaboratively towards achieving business outcomes
• Act as a resource for colleagues with less experience

• Must be authorized to work in the U.S. without company sponsorship.
• Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering, Business Analytics or a related field.
• At least 2 years' experience in data engineering, big data, analytics and operations concepts: SQL, ETL, performance tuning, production engineering, job scheduling, continuous deployment and operations support
• Experience with ETL tools like Informatica / Informatica Cloud
• Minimal knowledge on programming languages such as Python, Java, Spark; version control tools like GitHub.
• Design, develop, and maintain interactive dashboards and reports using Tableau, ThoughtSpot, and MSBI tools (SSRS, SSIS, SSAS).
• Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications.
• Analyze large datasets to identify trends, patterns, and opportunities for business improvement.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to present complex data in a clear, concise manner.
• Preferred experience with Cloud technologies such as AWS, Snowflake,
• Preferred experience in PL/SQL and use of databases such as Oracle and SQL Server;
• Experience in Agile development methodologies
• Experience with end-to-end Data Warehousing architecture and concepts and ETL best practices
• Delivery experience including full lifecycle from conception to successful implementation.