Data Engineer - Remote

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.

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.

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 Talend, 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

Qualifications

• Must be authorized to work in the U.S. without company sponsorship.
• Bachelor's degree (or foreign equivalent) in Computer Science, Computer Engineering or a related field.
• At least 3 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 Talend or Informatica
• Minimal knowledge on programming languages such as Python, Java, Spark; version control tools like GitHub.
• Preferred experience with Cloud technologies such as AWS, Snowflake, Dremio
• Preferred experience in PL/SQL and use of databases such as Oracle and SQL Server;
• Experience in Agile development methodologies with a preference of Scrum and/or SAFe a strong preference.
• Experience with end-to-end Data Warehousing architecture and concepts and ETL best practices
• Delivery experience including full lifecycle from conception to successful implementation.

Compensation

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:

$90,320 - $135,480

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us | Culture & Employee Insights | Diversity, Equity and Inclusion | Benefits

Data Engineer - GE08AE

Skills: