COMPANY OVERVIEW

Global Atlantic Financial Group is a leading insurance company meeting the retirement and life insurance needs of individuals and institutions. With a strong financial foundation and risk and investment management expertise, the company delivers tailored solutions to create more secure financial futures. The company's performance has been driven by its culture and core values focused on integrity, teamwork, and the importance of building long-term client relationships. Global Atlantic is a wholly-owned subsidiary of KKR, a leading global investment firm. Through its relationship, the company leverages KKR's investment capabilities, scale and access to capital markets to enhance the value it offers clients. KKR's parent company is KKR & Co. Inc. (NYSE: KKR).

Watch the Global Atlantic & KKR Partnership Story

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POSITION OVERVIEW

Global Atlantic Financial Company (a subsidiary of Global Atlantic Financial Group Limited) is seeking a candidate for the position of Associate, Data Engineer in Brighton, MA.  Responsibilities include:

  • Expand and optimize the data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams.
  • Perform data architecture analysis, design, development, and testing to deliver data applications, services, interfaces, extract, transform, and load (ETL) processes, reporting and other workflow and management initiatives.
  • Work closely with the business, data analysts, and IT teams to support on data strategy initiatives and will ensure optimal data delivery architecture is consistent throughout the strategy.
  • Follow modern Software Development Life Cycle (SDLC) principles, test driven development, source code reviews, and change control standards to maintain compliance with policies.
  • Design and develop enterprise data and data architecture solutions using Java, J2EE, Hadoop and other data technologies like Spark, Scala, Python, and SQL.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Create and maintain optimal data pipeline architecture.
  • Devise and execute continual improvement initiatives in all Data Management Service delivery and technology, with a focus on delivery velocity and quality.
  • Partner with business leaders to determine and prioritize delivery initiatives.
  • Define or influence system, technical and application architectures for major areas of development.
  • Devise and execute in software development life cycle including requirements gathering, development, testing, release management, and maintenance.
  • Engage with business partners to report (formally and informally) on technology strengths, weaknesses, successes and challenges on a regular basis.
  • Perform analytical programming in enterprise data warehouse (EDW) architecture to bridge the gap between a traditional database architecture and a Hadoop centric architecture.
  • 40 hours/wk; Monday-Friday; 9am-5pm; $177,341 per annum.

QUALIFICATIONS

  • Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Information Science, Computer or Electronics Engineering, or a related computational and quantitative analytical field.
  • Eight (8) years of experience as a member of an information technology team.

Prior experience must include three (3) years of the following:

  • Data modeling, complex data structures, data processing, and data quality and data lifecycle.
  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Performing root cause analysis on internal and external data and processes to provide solution for specific business requirements.
  • Performing UNIX shell scripting, batch scheduling, and version control tools.
  • Working in large scale server-side application development that includes the design and implementation of high-volume data processing jobs.
  • Ensuring appropriate change management and other technology methodologies are carried out on a consistent basis over time.
  • Advanced working knowledge and experience in the areas of Data Management, Business Intelligence (BI) Architecture, Product Development, relational database management system (RDBMS), and non-RDBMS platforms.
  • Leveraging analytical skills to recognize data patterns and troubleshoot the data.
  • Designing and delivering data solutions to empower data migration initiatives, BI initiatives, and dashboards development.
  • Working in Insurance Domain.

Prior experience must include two (2) years of the following:

  • Utilizing Python, Core Java, Cloudera, AWS Technologies, Rest API, Microservices, Spring Boot, and Spring cloud.
  • Building and optimizing ‘big data’ data pipelines, architectures, and data sets.

Global Atlantic is an equal opportunity employer, does not discriminate in employment on any basis that is prohibited by federal, state or local laws.

 

TOTAL REWARDS STATEMENT 

Global Atlantic’s employees thrive in a fast-paced, high-performing culture with strong benefit options and wellbeing resources that support innovation, accountability and stewardship. At Global Atlantic, being an employer of choice means we are committed to offering employees a customizable and comprehensive benefits package. Global Atlantic’s total rewards package is reflective of our corporate values, particularly diversity, excellence and innovation, with a focus on inclusion, pay equity, and flexibility. We strive to foster a culture of total well-being through community outreach and charitable giving programs. Learn more about our Charitable Giving Programs.

Our highly competitive health, retirement, life and disability plans can be tailored to best suit your needs and those of your whole family. Global Atlantic was proudly named: Best in Perks & Benefits, Best Company Work-Life Balance, Best Company Happiness and Best Company Compensation. Learn about our Benefits offerings.

Global Atlantic is committed to creating an inclusive environment where everyone can meaningfully contribute to our success. We are proud to be an equal opportunity employer, and we do not discriminate in employment on any basis that is prohibited by federal, state or local laws.  More than that, we strive to be inclusive of all backgrounds and experiences, which we feel gives us a competitive advantage in the market and within our firm. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. Find out more about GA’s commitment to creating a culture of belonging: DE&I and Strategic Pillars.

Employees who require an accommodation to perform the essential functions of their job will participate in an interactive process which may include providing documentation. If you require an accommodation during the hiring process or after you are hired for any protected status under the ADA, please email benefits@gafg.com.

Discover more about Global Atlantic below:

2023 Corporate Responsibility Report

Explore the GA Careers Video Channel

Follow Global Atlantic on LinkedIn

View Global Atlantic's Privacy Statement

Our employees are in the office 4 - 5 days per week in Hudson Yards, NY and 3 - 4 days per week in all other offices. If you have questions on this policy or the application process, please reach out to benefits@gafg.com

Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements, state and federal laws. 

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We encourage qualified applicants from all backgrounds to apply.  As such, we are committed to achieving a diverse candidate pool for open positions and that our interview teams are made up of employees from different backgrounds.  Sharing your background with us will help us with that focus, although recruiters and hiring managers will not have the ability to see individual responses (only aggregate information).  

This information is not used to determine who is selected for interviews or will be hired, but is helpful in identifying resources, sites and groups which add value in increasing our applicant pool and ensures that we attract the best and most diverse workforce.  This is purely voluntary but will help our mission to be inclusive.  

 

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