New York Life Insurance Company · 2 weeks ago
Senior Associate - Data Engineer
New York Life Insurance Company is seeking a Senior Data Engineer to design and execute their modern data management strategy. This role involves collaborating with various teams to build and maintain data engineering solutions on cloud platforms, ensuring the quality and performance of data pipelines.
FinanceFinancial ServicesInsurance
Responsibilities
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
Qualification
Required
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
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
Preferred
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
Benefits
Leave programs
Adoption assistance
Student loan repayment programs
Company
New York Life Insurance Company
For over 180 years, we’ve helped turn your biggest dreams into milestones that last a lifetime.
H1B Sponsorship
New York Life Insurance Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (149)
2024 (99)
2023 (85)
2022 (77)
2021 (48)
2020 (65)
Funding
Current Stage
Late StageLeadership Team
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