Associate, Data Engineer

Global Atlantic Financial Group, a leading insurance company and KKR subsidiary, is seeking a Senior Data Engineer to join their team in Boston. This role offers an exciting opportunity to work at the intersection of finance and technology, focusing on building and optimizing data infrastructure that powers critical business decisions.

The position requires a seasoned professional with 8 years of technology experience, including significant expertise in data engineering and architecture. You'll be responsible for designing and implementing sophisticated data solutions using modern technologies like Java, Python, Hadoop, and SQL, while working closely with cross-functional teams to drive data strategy initiatives.

This role is perfect for someone who combines strong technical skills with business acumen, as you'll be partnering directly with business leaders to shape and prioritize delivery initiatives. The position offers exposure to cutting-edge technologies and the chance to work on large-scale data systems in the insurance domain.

Global Atlantic offers a comprehensive benefits package including health, retirement, and life insurance plans, along with programs supporting work-life balance and charitable giving. The company has been recognized for its excellent perks, benefits, and company culture, making it an attractive destination for top talent.

The role requires in-person presence at the Boston office 3-4 days per week, offering some flexibility while maintaining strong team collaboration. With a competitive salary of $177,341 and the backing of KKR's global investment expertise, this position presents an excellent opportunity for career growth in a stable yet innovative financial services environment.

As part of a company that values integrity, teamwork, and long-term relationships, you'll contribute to building secure financial futures while working with modern technologies and methodologies. The role combines the stability of an established financial institution with the excitement of working on cutting-edge data solutions.