Overview
On Site
USD 175,947.00 per year
Full Time
Skills
Sourcing
Extraction
Relational Databases
Scalability
Data Warehouse
Data Marts
Analytical Skill
Collaboration
Meta-data Management
Data Governance
Documentation
Entity Relationship Model
Process Flow
Quality Assurance
Test Plans
Testing
FOCUS
Computer Science
Computer Engineering
Electronic Engineering
Data Analysis
Business Intelligence
Python
Database Administration
RDBMS
Data Storage
Business Analytics
SQL
Workflow
Software Engineering
Analytics
Big Data
Amazon Redshift
Snow Flake Schema
Apache Hadoop
Data Processing
Git
Version Control
Management
Extract
Transform
Load
Scripting
Amazon Web Services
Cloud Computing
Data Engineering
Sales
Finance
Leadership
Life Insurance
LinkedIn
Legal
Job Details
Job Requisition ID: 92136
Location Designation: Fully Onsite
Location : 51 Madison Avenue, New York, New York 10010
Offered Wage : $175,947.00/year
Duties : Design and implement data pipeline architecture and processes including sourcing, transformation, and extraction to enable seamless analytics integration. Utilize expert-level SQL and Python to manage, query, and transform structured data in relational databases to ensure performance and scalability. Automate and manage robust data pipelines and workflows using software engineering best practices to ensure reliability and scalability. Map data between source systems, data warehouses, and data marts to align with business requirements and analytical workflows. Build and maintain data models to optimize data storage, access platforms, and support complex business analytics needs. Collaborate with analysts and data scientists to translate business requirements into actionable data solutions. Leverage cloud platforms including AWS, Snowflake, and Redshift, and big data frameworks to build and scale data engineering solutions for large-scale analytics. Develop and enforce standards for metadata management, data governance, and documentation including entity-relationship diagram and process flow creation. Conduct comprehensive quality assurance, including code reviews, test plan development, and rigorous testing for data accuracy and integrity. Provide troubleshooting support for data pipelines with a focus on system performance, data accuracy, and availability to meet business analytics demands.
Education & Experience Requirements : Bachelor's degree in Computer Science, Computer Engineering, Electronic Engineering,
or
related field (willing to accept foreign education equivalent) plus seven (7) years of experience as an Associate Manager, Analytics Engineer, ETL Professional, or related occupation performing data analytics, business intelligence, or data engineering. Specific skills/other requirements - Must also possess the following (quantitative experience requirements not applicable to this section): Utilizing expert-level SQL and Python to manage and query structured data in relational database management systems (RDBMS); Building data models to optimize data storage, access patterns, and support business analytics needs; Automating and managing SQL workflows using software engineering best practices; Developing standards and practices for data and analytics engineering, focusing on scalable architectural data pipeline patterns; Utilizing big data platforms such as Redshift, Snowflake, and Hadoop for efficient large-scale data processing and analysis; Utilizing Git for version control and collaborating with teams to manage and track changes in data pipeline scripts and configurations; and utilizing cloud compute environments (AWS) and cloud-native tools to build, deploy, and scale data engineering solutions.
Eligible for Employee Referral Program.
To apply, visit , search job title.
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Pay Transparency
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
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.
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 our NYL Benefits Site.
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 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. 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 the Careers page of
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Job Requisition ID: 92136
About NY Life Insurance Company
Diversity & Humanity-two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy.
As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.
You are our future, and we commit to investing in you accordingly.
Visit our Linkedin to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Required Legal Notices - All Candidates Please Click Here
Location Designation: Fully Onsite
Location : 51 Madison Avenue, New York, New York 10010
Offered Wage : $175,947.00/year
Duties : Design and implement data pipeline architecture and processes including sourcing, transformation, and extraction to enable seamless analytics integration. Utilize expert-level SQL and Python to manage, query, and transform structured data in relational databases to ensure performance and scalability. Automate and manage robust data pipelines and workflows using software engineering best practices to ensure reliability and scalability. Map data between source systems, data warehouses, and data marts to align with business requirements and analytical workflows. Build and maintain data models to optimize data storage, access platforms, and support complex business analytics needs. Collaborate with analysts and data scientists to translate business requirements into actionable data solutions. Leverage cloud platforms including AWS, Snowflake, and Redshift, and big data frameworks to build and scale data engineering solutions for large-scale analytics. Develop and enforce standards for metadata management, data governance, and documentation including entity-relationship diagram and process flow creation. Conduct comprehensive quality assurance, including code reviews, test plan development, and rigorous testing for data accuracy and integrity. Provide troubleshooting support for data pipelines with a focus on system performance, data accuracy, and availability to meet business analytics demands.
Education & Experience Requirements : Bachelor's degree in Computer Science, Computer Engineering, Electronic Engineering,
or
related field (willing to accept foreign education equivalent) plus seven (7) years of experience as an Associate Manager, Analytics Engineer, ETL Professional, or related occupation performing data analytics, business intelligence, or data engineering. Specific skills/other requirements - Must also possess the following (quantitative experience requirements not applicable to this section): Utilizing expert-level SQL and Python to manage and query structured data in relational database management systems (RDBMS); Building data models to optimize data storage, access patterns, and support business analytics needs; Automating and managing SQL workflows using software engineering best practices; Developing standards and practices for data and analytics engineering, focusing on scalable architectural data pipeline patterns; Utilizing big data platforms such as Redshift, Snowflake, and Hadoop for efficient large-scale data processing and analysis; Utilizing Git for version control and collaborating with teams to manage and track changes in data pipeline scripts and configurations; and utilizing cloud compute environments (AWS) and cloud-native tools to build, deploy, and scale data engineering solutions.
Eligible for Employee Referral Program.
To apply, visit , search job title.
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
Pay Transparency
Overtime eligible: Exempt
Discretionary bonus eligible: Yes
Sales bonus eligible: No
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.
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 our NYL Benefits Site.
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 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. 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 the Careers page of
Visit our LinkedIn to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Job Requisition ID: 92136
About NY Life Insurance Company
Diversity & Humanity-two values that are deeply rooted in the New York Life culture and have laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. At New York Life you become a valued part of a welcoming, inclusive, and caring culture that has a long-standing legacy in stability and growth. The strength of New York Life revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance, and we want you to be a part of our legacy.
As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities. You will be part of a diverse team guided by our belief to always be there for each other-providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.
You are our future, and we commit to investing in you accordingly.
Visit our Linkedin to see how our employees and agents are leading the industry and impacting communities.
Visit our Newsroom to learn more about how our company is constantly evolving to meet our clients' and employees' needs.
Required Legal Notices - All Candidates Please Click Here
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.