AWS Data Engineer (Only "W2 FULLTIME", Hybrid)

• Title: AWS Data Engineer (Only "W2 FULLTIME", Hybrid)
• Location: Newark, NJ - Hybrid
• Type: W2 FULLLTIME

Role Overview

• The person will be part of the Global Technology team for a major Insurance client.
• He/ She will work as a Senior Cloud Engineer within the CDO EDP team and will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the data infrastructure and application patterns that power mission-critical applications, ensuring that they’re engineered for high availability, durability, and resiliency.
• They will be part of an agile team that combines various backgrounds, experiences, and perspectives to solve complex problems within AWS and beyond.
• The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion.
• A suitable candidate should have 10+ years of IT experience with at least 5+ years of experience working as an AWS Data Engineer.
• He/ She should be able to deal with ambiguity.
• Experience in life insurance preferred but not mandatory.

Key Responsibilities & Skillsets

• Superior analytical and problem solving skills.
• Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision.
• Good communication skill for client interaction.

Application development Skillsets

• Strong ability to debug complex data workflows, optimize application and ETL code, and automate data transformation processes.
• Systematic, analytical problem‑solving approach with strong ownership over data quality, performance, and delivery.
• Ability to quickly evaluate new AWS data and analytics services and determine fit for data pipelines or application architecture.
• Hands‑on experience developing data workflows and infrastructure using IaC frameworks such as CloudFormation or Terraform (as needed).
• Working knowledge of CI/CD pipelines primarily to support data application deployments (Jenkins, CodePipeline etc.).
• Proficient with Git for versioning data processing code, libraries, and application components.
• Skilled in writing production‑grade code in Python, Node.js, Bash, PowerShell, or similar languages, focusing on data processing and backend development.
• Experience using Docker for packaging applications and data-processing workloads, with exposure to containerized data services (ECS, EKS etc.).
• Comfortable developing and troubleshooting in Linux environments.
• Solid understanding of key AWS data services and application primitives such as S3, EC2, Glue, EMR, Lambda, RDS, DynamoDB, CloudWatch, and VPC networking concepts.
• Strong knowledge of AWS security and IAM as it relates to data pipelines, encryption (KMS), secure data access (IAM roles/policies), and audit controls.
• Hands‑on experience with ETL, distributed compute, and big data frameworks such as Spark, Glue, Hadoop/EMR, Impala, or similar tooling.
• Deep understanding of relational databases, SQL optimization, and application‑to‑database interaction patterns.
• Familiarity with log analytics and observability platforms (Splunk, ELK, Prometheus, Grafana) as they relate to monitoring data pipelines and applications.

Candidate Profile

• Bachelor’s/Master's degree in computer science/engineering, operations research or related analytics areas welcome to apply.
• 10+ years’ experience in AWS Data Engineering, preferably in Life Insurance but not mandatory.
• Application development experience.
• Team Management.
• Superior analytical and problem solving skills.
• Outstanding written and verbal communication skills.
• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.
• Can understand cross cultural differences and can work with clients across the globe.
• Preferably based out of the New Jersey area with at least three days of work from office at the client’s location in Newark, NJ.