Senior Data Engineer
Description For Senior Data Engineer
Global Atlantic Financial Group, a leading insurance company and KKR subsidiary, is seeking a Senior Data Engineer to join their team. This role offers an exciting opportunity to work at the intersection of finance and technology, focusing on expanding and optimizing data architecture and pipeline solutions.
The position requires a seasoned professional with 8-10 years of IT experience, including significant expertise in big data solutions and machine learning. You'll be responsible for designing and developing enterprise data architecture solutions using cutting-edge technologies like AWS Glue, Lambda, Spark, and various programming languages including Python, Java, and Scala.
As a Senior Data Engineer, you'll work closely with cross-functional teams to support data strategy initiatives and ensure optimal data delivery architecture. The role combines technical expertise with business acumen, requiring strong analytical and leadership skills. You'll be involved in everything from machine learning model development to data pipeline optimization and business requirement analysis.
The company offers a competitive compensation package ranging from $67,500 to $129,000 USD, along with comprehensive benefits including immediate 401(k) vesting, company matching, health plans, and long-term incentives. The position is hybrid, based in either Boston, MA or Hartford, CT, requiring 3-4 days per week in the office.
Global Atlantic prides itself on fostering an inclusive environment where diversity is valued and everyone can contribute meaningfully to the company's success. They maintain a strong focus on work-life balance and professional development, making it an ideal place for talented data professionals looking to make an impact in the financial services industry.
This role represents an excellent opportunity for someone who combines technical expertise with business acumen and wants to work with a leading financial institution that values innovation, accountability, and stewardship.
Responsibilities For Senior Data Engineer
- Design and develop enterprise data architecture solutions using AWS Glue, Lambda and other data technologies
- Design and develop machine learning algorithms and AI models
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet business requirements
- Partner with business leaders to determine and prioritize delivery initiatives
- Train, retrain, and monitor machine learning systems and models
- Devise and execute software development life cycle
- Ensure appropriate change management and technology methodologies
Requirements For Senior Data Engineer
- 8 to 10 years of overall IT experience with 3 years in enterprise-wide big data solution design
- Master's in data science preferred, Bachelor's degree in computer science or related field required
- Strong ML experience
- AWS Glue and Lambda experience is required
- Strong Database SQL experience preferably Redshift
- Application development experience in Scala/Python
- Strong Analytical and Leadership skills
Benefits For Senior Data Engineer
- Comprehensive health plans
- 401(k) with immediate vesting on employee contributions
- Company match on 401(k) contributions
- Annual cash bonuses
- Long-term incentives (equity)
- Life and disability plans
- Flexible benefits package
