Aws Data Engineer Jobs
Aws Data Engineer jobs are open across technology, finance, healthcare, and retail, from associate to staff and principal engineer levels, with specializations in pipeline architecture, cloud-native ETL, and lakehouse design. Find a role that fits from the openings below and apply directly.
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Showing 5 of 154+ Aws Data Engineer jobs
Job Description
Requisition ID
Department
Job Function
Location
Role Location Designation
Location Designation: Hybrid - 3 days per week
The AWS Data Engineer supports the development, maintenance, and analysis of cloud-based data solutions on AWS within the Institutional Life (IL) business at New York Life. Working within established technical standards and with moderate guidance from senior engineers or technical leads, this role develops and maintains data pipelines, performs data analysis, supports dashboards and reporting, and monitors data quality. The position applies knowledge of AWS data services, SQL, and Python to solve data engineering and analytical problems in the context of BOLI, COLI, and ICOLI product administration — while continuing to build higher-level technical capabilities.
What You’ll Do:
- Develop and maintain ETL/ELT data pipelines using established designs, standards, and AWS services such as S3, Glue, Lambda, Step Functions, Athena, Redshift, and Aurora PostgreSQL. Support data ingestion and transformation from approved sources — including Salesforce, REST APIs, and legacy mainframe feeds — and troubleshoot routine pipeline and data-processing issues.
- Write and maintain SQL queries to analyze datasets and support defined business reporting and analytical requirements. Develop and maintain dashboards and reports using approved visualization tools such as AWS Quick.
- Follow established data governance, security, privacy, validation, error-handling, and data-quality standards. Monitor AWS data workflows and services using established monitoring procedures; resolve routine issues and escalate complex problems.
- Assist with data storage, pipeline performance, reliability, and cost-optimization efforts using established practices. Document technical configurations, data workflows, operating procedures, and troubleshooting steps.
- Collaborate with engineers, analysts, and business partners to understand defined requirements and complete assigned solutions. Work with moderate guidance, seeking direction for new, ambiguous, architectural, or complex assignments.
What You’ll Bring:
Working knowledge of AWS data services, ETL/ELT concepts, SQL, Python, and relational or non-relational data sources. Familiarity with financial-services or insurance data — policy administration, premium payments, or reconciliation workflows — is a plus. You can analyze technical problems using established practices and communicate clearly with engineers, actuaries, and business partners in a regulated-industry environment.
Required Skills:
- 2+ years of relevant experience in data engineering, data analytics, cloud data technologies, or a related discipline, or an equivalent combination of education and experience.
- Working knowledge of core AWS data services such as S3, Glue, Lambda, Step Functions, Athena, Redshift, Aurora PostgreSQL, and RDS, plus ETL/ELT concepts and data-processing practices appropriate to insurance and financial-services data.
- Proficiency with SQL and working knowledge of Python for data processing or automation.
- Experience with relational and/or non-relational data sources and the ability to create or maintain dashboards and reports using a visualization platform.
- Understanding of basic cloud security, IAM, encryption, data quality, and governance concepts.
- Ability to analyze straightforward technical problems using established practices and communicate technical information clearly.
- Exposure to Terraform or another infrastructure-as-code tool for managing AWS resources.
- Exposure to AWS Step Functions for workflow orchestration, Apache Spark, EMR, or CI/CD practices.
- AWS certification or equivalent cloud training.
- Familiarity with AWS generative-AI services, including Amazon Bedrock and Bedrock AgentCore, for agentic or analytics use cases
#LI-HYBRID
Pay Transparency
Salary Range: $80,000 - $105,000
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.
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 here to 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: 94843
Job Description
Requisition ID
Department
Job Function
Location
Role Location Designation
Location Designation: Hybrid - 3 days per week
The AWS Data Engineer supports the development, maintenance, and analysis of cloud-based data solutions on AWS within the Institutional Life (IL) business at New York Life. Working within established technical standards and with moderate guidance from senior engineers or technical leads, this role develops and maintains data pipelines, performs data analysis, supports dashboards and reporting, and monitors data quality. The position applies knowledge of AWS data services, SQL, and Python to solve data engineering and analytical problems in the context of BOLI, COLI, and ICOLI product administration — while continuing to build higher-level technical capabilities.
What You’ll Do:
- Develop and maintain ETL/ELT data pipelines using established designs, standards, and AWS services such as S3, Glue, Lambda, Step Functions, Athena, Redshift, and Aurora PostgreSQL. Support data ingestion and transformation from approved sources — including Salesforce, REST APIs, and legacy mainframe feeds — and troubleshoot routine pipeline and data-processing issues.
- Write and maintain SQL queries to analyze datasets and support defined business reporting and analytical requirements. Develop and maintain dashboards and reports using approved visualization tools such as AWS Quick.
- Follow established data governance, security, privacy, validation, error-handling, and data-quality standards. Monitor AWS data workflows and services using established monitoring procedures; resolve routine issues and escalate complex problems.
- Assist with data storage, pipeline performance, reliability, and cost-optimization efforts using established practices. Document technical configurations, data workflows, operating procedures, and troubleshooting steps.
- Collaborate with engineers, analysts, and business partners to understand defined requirements and complete assigned solutions. Work with moderate guidance, seeking direction for new, ambiguous, architectural, or complex assignments.
What You’ll Bring:
Working knowledge of AWS data services, ETL/ELT concepts, SQL, Python, and relational or non-relational data sources. Familiarity with financial-services or insurance data — policy administration, premium payments, or reconciliation workflows — is a plus. You can analyze technical problems using established practices and communicate clearly with engineers, actuaries, and business partners in a regulated-industry environment.
Required Skills:
- 2+ years of relevant experience in data engineering, data analytics, cloud data technologies, or a related discipline, or an equivalent combination of education and experience.
- Working knowledge of core AWS data services such as S3, Glue, Lambda, Step Functions, Athena, Redshift, Aurora PostgreSQL, and RDS, plus ETL/ELT concepts and data-processing practices appropriate to insurance and financial-services data.
- Proficiency with SQL and working knowledge of Python for data processing or automation.
- Experience with relational and/or non-relational data sources and the ability to create or maintain dashboards and reports using a visualization platform.
- Understanding of basic cloud security, IAM, encryption, data quality, and governance concepts.
- Ability to analyze straightforward technical problems using established practices and communicate technical information clearly.
- Exposure to Terraform or another infrastructure-as-code tool for managing AWS resources.
- Exposure to AWS Step Functions for workflow orchestration, Apache Spark, EMR, or CI/CD practices.
- AWS certification or equivalent cloud training.
- Familiarity with AWS generative-AI services, including Amazon Bedrock and Bedrock AgentCore, for agentic or analytics use cases
#LI-HYBRID
Pay Transparency
Salary Range: $80,000 - $105,000
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.
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 here to 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: 94843
Aws Data Engineer Jobs by Experience Level
See All 154+ Aws Data Engineer Jobs
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Find Aws Data Engineer JobsAws Data Engineer Job Market
Who's Hiring
- Amazon31
- Amazon Web Services30
- Syms Strategic Group, LLC (SSG)19
- Capital One11
- Travelers5
Top Industries Hiring
- Technology & Software14
- Retail7
- Distribution & Wholesale7
- E-Commerce & Online Marketplaces7
- Banking & Financial Services2
What Employers Look For
The qualifications that appear most often in aws data engineer jobs.
- 3 or more years of hands-on experience building and maintaining AWS data pipelines
- Proficiency in Python or Scala for data transformation and orchestration workflows
- Experience with AWS services including Glue, S3, Redshift, EMR, and Lambda
- Familiarity with SQL and query optimization on large distributed datasets
- AWS Certified Data Engineer or AWS Certified Solutions Architect certification preferred
- Bachelor's degree in computer science, data engineering, or a related technical field
Tips for Your Aws Data Engineer Job Search
Tailor your resume to pipeline patterns
Recruiters scan for specific AWS service combinations, so call out whether you build on Glue, EMR, Redshift, or Kinesis rather than listing cloud skills generically. A pipeline section showing input source, transform logic, and output target reads faster than a bullet list of tool names.
Apply early to roles that fit
Migrate Mate lists aws data engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by stack depth required
Job postings that mention Terraform or CDK alongside Glue signal an infra-aware role, while postings focused on dbt and Redshift lean toward analytics engineering. Matching your stack depth to the posting prevents wasted interviews where expectations misalign early.
Quantify data volume in every project entry
Hiring managers at data-heavy companies compare candidates on scale handled, so replace vague descriptions with concrete figures like daily row counts, pipeline latency targets, or storage costs reduced. Avoid invented numbers by pulling actuals from CloudWatch logs or cost dashboards before you write.
Prep a live coding demo for the design round
Many aws data engineer panels include a whiteboard or shared-screen session where you sketch an ingestion architecture under constraints. Practice narrating trade-offs out loud, especially around partitioning strategy, failure handling, and cost versus latency, because interviewers evaluate reasoning as much as the final design.
Negotiate around total compute cost ownership
Offers sometimes include on-call rotations for production pipelines, which affects real compensation. Before accepting, ask how pipeline incidents are handled, whether there is a rotation schedule, and whether on-call is compensated separately so you can compare offers accurately.
Aws Data Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most aws data engineers?
The companies hiring the most aws data engineers right now include Amazon, Amazon Web Services, and Syms Strategic Group, LLC (SSG), with the largest share of openings in Virginia, Washington, and Texas, based on current listings on Migrate Mate as of September 2026. Demand is strongest at companies undergoing cloud migrations or building out real-time analytics infrastructure.
How many aws data engineer jobs are remote?
About 84% of aws data engineer openings are fully remote or hybrid as of September 2026, reflecting how portable cloud-native work tends to be. Roles focused on Redshift analytics engineering and dbt modeling show the highest remote share, while positions requiring hands-on infrastructure provisioning or on-prem integration are more likely to require on-site presence.
How do you become a aws data engineer?
Start by building a foundation in SQL, Python, and relational data modeling, then move into cloud-native tooling by completing AWS training and earning a foundational certification. Build portfolio projects that demonstrate an end-to-end pipeline using S3, Glue, and Redshift. From there, apply to entry-level data or analytics engineering roles to gain production experience before targeting mid-level aws data engineer positions.
Can you get an aws data engineer job with little experience?
Yes, but you need to offset limited work history with demonstrable project work. Build a public GitHub portfolio that shows a complete ingestion and transformation pipeline on AWS, even using free-tier resources. Target smaller companies or startups where generalist data engineers are valued over specialists, and highlight any adjacent experience in data analysis, backend development, or database administration that transfers directly.
What does the aws data engineer interview process look like?
The process typically starts with a recruiter screen focused on your AWS service experience and pipeline history, followed by a technical phone screen testing SQL and Python fundamentals. A system design round then asks you to architect a data pipeline under specific constraints. Final rounds often include a take-home or live coding exercise and a panel with engineering and analytics stakeholders who probe past project decisions and trade-offs.
Where can I find and apply to aws data engineer jobs?
You can find and apply to aws data engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your stack and experience level, then apply directly to each one that fits.
See All 154+ Aws Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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