Data Engineer

Guardian is seeking a Data Engineer to join the team responsible for establishing and maintaining an optimized, scalable data pipelines to provide access to high quality, consistent data in an easy and convenient manner to all authorized end users and applications of Guardian and its subsidiaries. As a Data Engineer, you will play a vital role in our data infrastructure and analytics ecosystem. You will work closely with data architects and data scientists to build and maintain data pipelines, transform raw data into actionable insights, and contribute to the development of cutting-edge data solutions. This is an excellent hands-on opportunity to experience the latest technologies and make a significant impact on our data-driven initiatives.

Responsibilities

• The position will integrate new data sources from enterprise sources and external vendors using a variety of ingestion patterns including Structured Query Language (SQL) Ingestion, File, and Application Programming Interfaces (APIs).
• You will Collaborate with cross-functional teams to understand data requirements and translate them into effective data pipelines.
• Design and maintain reliable batch and real-time ingestion pipelines for databases, files, APIs, event streams, and third-party data sources, including schema evolution, error handling, and data quality controls.
• Develop and operationalize scalable data pipelines using Python, PySpark, and SQL to transform ingested data into curated, trusted, and business-ready data assets.
• Leverage Databricks to build, orchestrate, optimize, and govern production-grade data pipelines and data assets.
• Build governed, high-quality data assets that support analytics, machine learning, and generative AI use cases.
• Design scalable dimensional and domain-oriented data models, define schemas and data contracts, and optimize data structures for performance and usability.
• Implement observability, automated data-quality checks, and proactive alerting to ensure pipeline reliability, performance, and compliance with service-level objectives.
• Participate in code reviews, testing, and documentation efforts to maintain high-quality code and data documentation.
• Stay updated on industry trends and best practices in data engineering.
• Continue to look for innovative and next generation solutions for solving data challenges.
• You are A self-starter, self-motivated team player and have excellent communication skills, enabling you to engage with all levels of stakeholders who is fueled by collaboration, able to transform conceptual designs into reliable, scalable processes that meet or exceed customer needs.
• An individual who works closely with IT and business leaders across the enterprise to drive and embed the Enterprise Data Strategy into transformational roadmaps ensuring key principles of Data Governance, Data Management, Data Analytics and Architecture are implemented.
• Extensive hands-on data engineering experience with distributed data processing and lakehouse technologies, including Python and PySpark on the Databricks platform.
• Expert SQL skills, including complex query development, performance optimization, data transformations, and scalable data-structure design.
• Articulate the vision and goals, both to the team members and other stakeholders.
• Motivate, inspire, and resolve conflicts with others while building a positive rapport with team members and partners.
• Collaborate effectively with the Product Manager and your leadership and keep appraised with key updates and planning.
• Encourage partnership between team members to create a more dynamic and effective work environment.

Requirements

• You have 10+ Years of IT experience, with 5+ years of experience as a Data Architect, data engineer or other data professional
• Expert knowledge of relational and NoSQL database concepts, with hands-on experience across PostgreSQL, Oracle, Databricks, and cloud-native data stores.
• Expert proficiency in logical, physical, dimensional, and domain-oriented data modeling, including schema design and data contracts; experience with enterprise modeling tools is preferred.
• Hands-on experience designing and optimizing large-scale data pipelines and data-warehouse architecture using batch and incremental processing, change data capture, orchestration, and schema evolution.
• Experience with AWS data services and modern cloud data platforms, including Amazon S3, PostgreSQL, and Databricks.
• Demonstrated expertise with data sourcing, profiling, data mapping and data analysis.
• Ability to design secure, scalable cloud-native data solutions across object storage, lakehouse platforms, SaaS integrations, relational databases, and NoSQL data stores.
• Excellent written and verbal communication skills and creative problem-solving skills.
• Ability to adapt to changing business priorities and experience effectively communicating changes across different levels in the organization.
• Strong listeners and able to provide constructive feedback.
• Significant experience interfacing with both customers and management across business and IT Reltio proficiency and Agentic AI development with Bedrock Location New York NY, Holmdel NJ or Bethlehem PA .

Preferred

• SAFE experience and the ability to work on a cross functional, self-organizing development teams is a plus.

Pay

• Up to 10% travel within the NY/NJ/PA locations Salary Range: $99,150.00 - $162,885.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position.
• The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate.
• In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation.

Benefits

• Our Promise At Guardian, you’ll have the support and flexibility to achieve your professional and personal goals.
• Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards.
• Inspire Well-Being As part of Guardian’s Purpose – to inspire well-being – we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues.
• Explore our company benefits at www.guardianlife.com/careers/corporate/benefits .
• Benefits apply to full-time eligible employees.
• Interns are not eligible for most Company benefits.

Equal Employment Opportunity

Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law.

Accommodations

Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR@glic.com .

Please note

this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. Visa Sponsorship Guardian Life is not currently or in the foreseeable future sponsoring employment-based visas (e.g., such as an H-1B). In order to be a successful applicant, you must be legally authorized to work in the United States, without the need for employer sponsorship/support now or at any time in the future. Notice Regarding Guardian’s Use of Artificial Intelligence in Recruitment As part of Guardian’s job application process, Guardian may use artificial intelligence tools (“AI Tools") to automate the sorting and filtering of information provided by applicants as part of its preliminary screening. This preliminary screening may be used to help identify applicant materials and resumes relative to their indication that the applicant meets the requirements for the specific job for which they are applying, as specified in the listing posted on Guardian’s jobs website (Careers at Guardian at https://www.guardianlife.com/careers ). At Guardian, we do not use AI Tools to substantially assist or replace human judgment or discretionary decision making in our hiring process. All hiring decisions will be made by Guardian colleagues. Please be aware that if you apply for a specific position with Guardian, you will have the choice of opting out of Guardian’s use of AI Tools during the job application process. If you would like to request an alternative process that does not utilize AI Tools or would like to request a reasonable accommodation, within ten business days of your position application, you must email your request to MyHR@glic.com , making sure to provide your name and job requisition identification number. Guardian will retain your applicant materials and resume and all information therefrom in accordance with Guardian’s document retention policy, a copy of which you may request via MyHR@glic.com .

Additionally, at applicable times, Guardian will make public the most recent bias audit results for such AI tools, which may be found here .

Current Guardian Colleagues

Please apply through the internal Jobs Hub in Workday.