Location Designation: [[cust_rolelocationdesignation]]
As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape New York Life's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success.
We are seeking energetic and passionate Senior Data Engineer to design and execute our company's modern data management strategy. As a key member of Enterprise Data Platform team, you will work with talented engineers, architects, data scientists and end users to reimagine, design and build the next generation of Insurance solutions in the cloud leveraging nascent and modern technologies and platforms including AWS and Azure cloud, APIs, and AI. You will be responsible for the design, development and deployment of optimal data pipelines taking advantage of leading-edge technologies through experimentation and iterative refinement. You will assist other team members in building and executing automation that effectively and repeatably ensures quality, security, integrity and maintainability of our solutions. You will also be responsible for the evaluation of existing data pipeline architecture, evolve and enhance the foundation, participate in product ideation and technology stack evaluation and recommendations
What You'll Do:
Engages in collaborative relationships across architecture, product management, data and product delivery teams to design, implement solutions based on defined business challenges and outcomes
Participate on scrum teams working in short sprints and ensure on time delivery with high quality
Build and maintain Data engineering solutions on cloud platforms using AWS or Azure services.
Design, develop, and implement scalable data transformations and ETL/ELT processes using Python, PySpark, and or Data Integration tools IDMC, DBT
Collaborate with Data Architects and Data analysts to understand data requirements and translate them into scalable, high performant data integration and pipeline solutions.
Develop and maintain data models and schemas to support data integration and analysis
Monitor and troubleshoot data pipeline performance, identifying and resolving bottlenecks and issues
Optimize and tune data integration pipelines for performance, reliability, and scalability
Implement data quality and validation checks to ensure accuracy and integrity of data through testing
Build the infrastructure required for optimal ETL/ELT of data from a wide variety of data sources using SQL and AWS big data technologies
Develop and debug code in PySpark/Spark/Python. Strong SQL and query optimization techniques
Maintaining high degree of knowledge and expertise in cloud-based technologies contributing to go forward best practices, standards and patterns
Active participant in relevant communities of practice to exchange ideas and knowledge
What You'll Bring:
Eight or more years of experience in enterprise-level delivery of Data Engineering solutions.
Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.
Experience working with Databricks and DBT
Strong background in Operational Data Stores, Dimensional Modeling, and supporting application data architecture. Experience with Redshift, Snowflake, Databricks SQL, Oracle, Postgres, MySQL, and understanding of best practice architectural concepts for relational data models.
8 + Years of design and implementation of ETL/ELT framework for complex warehouses/data marts.
Proven experience in ETL/ELT tools IDMC, DBT, AWS Glue.
Proficiency with languages such as Python, PySpark
Strong knowledge on AWS Cloud technologies.
Strong, demonstratable hands-on experience with data engineering and data pipelines
Proficient in cloud architecture and best practices, particularly with AWS Cloud tools such as Amazon RDS, Redshift, AWS DMS, AWS Glue, Amazon S3, AWS Lambda, and more.
Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
Identify, recommend, and implement ELT processes and architecture improvements.
Assist and verify design of solution and production of all design phase deliverables.
Bachelor's or Master's degree in computer science or an Engineering discipline
Certification in data management (structure and unstructured), and/or cloud architecture or engineering a plus
Certification in delivery methodologies such as Scaled Agile a plus
LI-CD2
Pay Transparency
Salary Range: [[cust_salaryRangePosting]]
Overtime eligible: [[customString6]]
Discretionary bonus eligible: [[cust_merit]]
Sales bonus eligible: [[stockPackage]]
Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.
Company Overview
At New York Life, our 180-year legacy of purpose and integrity fuels our future. As we evolve into a more technology-, data-, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference across industries and communities-inviting bold thinking, collaborative problem-solving, and purpose-driven innovation. Here, you'll find the rare balance of long-standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter. Your ideas drive what's next, and your growth powers it.
Our Benefits
We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.Click hereto discover more about our comprehensive benefit options or visit ourNYL Benefits Site (https://nylbenefits.com/) .
Our Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.Click here (https://www.newyorklife.com/newsroom/featured-awards) to learn more about New York Life's leadership in this space.?
Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation (http://www.newyorklife.com/foundation) . We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit theCareers (https://www.newyorklife.com/about/careers/) page of www.NewYorkLife.com .
?Visit ourLinkedIn (https://www.linkedin.com/company/newyorklife/mycompany/) to see how our employees and agents are leading the industry and impacting communities.
Visit ourNewsroom (https://www.newyorklife.com/newsroom) to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Job Requisition ID: [[id]]
