Design and implement data pipelines, manage data with SQL and Python, automate workflows, ensure data integrity, and build scalable data solutions on AWS and Redshift.
Job Requisition ID: 93907
Location Designation: Fully Onsite
Location: 51 Madison Avenue, New York, New York 10010
Salary Range: $144,400.00 - $171,500.00/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, scalability, and maintainability. Automate and manage robust data pipelines and workflows using software engineering best practices including modular design, version control, and testing frameworks to ensure reliability and repeatability. Map data between source systems, data warehouses, and data marts in alignment with business requirements, ensuring data consistency across analytical workflows. Build and maintain data models that enhance efficiency, performance, and support complex business analytics and reporting needs. Collaborate with analysts, data scientists, and business stakeholders to translate business requirements into actionable, scalable data solutions. Leverage cloud platforms including AWS, along with big data frameworks like Redshift, to build and scale secure, high-performance data engineering solutions for large-scale analytics. Develop and enforce standards for development, testing and documentation, including data flow maps to support transparency and maintainability. Conduct comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy, completeness, and reliability. Provide troubleshooting support for data pipelines and workflows, focusing on system performance, data integrity, and availability to meet evolving business analytics demands. Build strong relationships with IT to work on tooling, data strategy, integrations, and deployments. Stay up to date with the latest analytics engineering trends and emerging technologies, and look for opportunities to improve the stack.
Education & Experience Requirements: Master's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams. Alternatively, Bachelor's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams. Specific skills/other requirements - Experience must include (quantitative experience requirements not applicable to this section): Utilizing advanced-level SQL and Python for querying and managing structured data within relational database systems (RDBMS). Designing and implementing data models to enhance efficiency, performance, and fulfill business analytics requirements. Automating and orchestrating SQL workflows using established software engineering best practices including CI/CD and version control. Developing standards and practices for data and analytics engineering, focusing on scalable architectural data pipeline patterns. Utilizing big data platforms including Redshift for efficient large-scale data processing and analysis. Building and deploying scalable data engineering solutions in cloud environments including AWS using cloud-native tools and services. Conducting comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy. Hybrid - 3 days in office, 2 days remote. Eligible for Employee Referral Program. To apply, visit https://jobs.newyorklife.com/ and search job title.
Pay Transparency
Overtime eligible: Exempt
Discretionary bonus eligible: No
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.
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 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 www.NewYorkLife.com.
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: 93907
Location Designation: Fully Onsite
Location: 51 Madison Avenue, New York, New York 10010
Salary Range: $144,400.00 - $171,500.00/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, scalability, and maintainability. Automate and manage robust data pipelines and workflows using software engineering best practices including modular design, version control, and testing frameworks to ensure reliability and repeatability. Map data between source systems, data warehouses, and data marts in alignment with business requirements, ensuring data consistency across analytical workflows. Build and maintain data models that enhance efficiency, performance, and support complex business analytics and reporting needs. Collaborate with analysts, data scientists, and business stakeholders to translate business requirements into actionable, scalable data solutions. Leverage cloud platforms including AWS, along with big data frameworks like Redshift, to build and scale secure, high-performance data engineering solutions for large-scale analytics. Develop and enforce standards for development, testing and documentation, including data flow maps to support transparency and maintainability. Conduct comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy, completeness, and reliability. Provide troubleshooting support for data pipelines and workflows, focusing on system performance, data integrity, and availability to meet evolving business analytics demands. Build strong relationships with IT to work on tooling, data strategy, integrations, and deployments. Stay up to date with the latest analytics engineering trends and emerging technologies, and look for opportunities to improve the stack.
Education & Experience Requirements: Master's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus three (3) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams. Alternatively, Bachelor's degree in Computer Science, Computer Engineering, Business Analytics or related field (willing to accept foreign education equivalent) plus five (5) years of experience as a Data Analyst or Data Engineer supporting data science and analytics through data engineering, pipeline development, and cross-functional collaboration across data, IT, and business teams. Specific skills/other requirements - Experience must include (quantitative experience requirements not applicable to this section): Utilizing advanced-level SQL and Python for querying and managing structured data within relational database systems (RDBMS). Designing and implementing data models to enhance efficiency, performance, and fulfill business analytics requirements. Automating and orchestrating SQL workflows using established software engineering best practices including CI/CD and version control. Developing standards and practices for data and analytics engineering, focusing on scalable architectural data pipeline patterns. Utilizing big data platforms including Redshift for efficient large-scale data processing and analysis. Building and deploying scalable data engineering solutions in cloud environments including AWS using cloud-native tools and services. Conducting comprehensive quality assurance processes including code reviews, test plan development, and rigorous validation to ensure data accuracy. Hybrid - 3 days in office, 2 days remote. Eligible for Employee Referral Program. To apply, visit https://jobs.newyorklife.com/ and search job title.
Pay Transparency
Overtime eligible: Exempt
Discretionary bonus eligible: No
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.
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 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 www.NewYorkLife.com.
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: 93907
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What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
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