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# Data Engineer

- **Company:** HANSTON INSURANCE AGENCY, INC.
- **Location:** Woodbridge Township, NJ, United States
- **Experience:** Expert
- **Salary:** $92,300.0 - $166,850.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Batch Processing, Big Data, Cloud Computing Security, Cloud Engineering, Cloud Storage, Computer Programming, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Identity and Access Management, Python (Programming Language), Performance Tuning, Query Optimization, SQL Databases, Data Streaming, Sql Optimization, Pyspark, Gitlab-ci, AWS Glue, AWS Data Analytics, Apache Kafka, Spark Streaming, Data Management, Data Pipelines, Jenkins, Databricks
- **Published:** August 14, 2026
- **Apply:** https://www.careerjet.com/jobad/us385941537490cb0592a461d2def29862

## About the Role

Seeking an AWS Data Engineer with strong hands-on experience in SQL, AWS S3/Redshift, Glue, and Databricks to build scalable data pipelines, optimize data flows, and support cloud-native analytics workloads., Advanced SQL - Query tuning, performance optimization
AWS S3/Redshift - Strong experience with cloud storage + warehouse
AWS Glue - ETL development, job orchestration
Databricks - Spark-based transformations and pipelines
Python/PySpark - Hands-on programming for large-scale data processing
IAM & Security - Strong understanding of roles, policies, and cloud security
DevOps - Jenkins/GitLab CI/CD pipelines
Agile - Experience with Agile delivery frameworks
Nice to Have
Kafka/Spark Streaming - Real-time ingestion
DBT - Data modeling & transformations, Required Skills & Qualifications * Strong experience in data engineering, ETL (preferably Informatica), and data architecture * Experience working with Salesforce platforms and…

 + 1 month ago

## Description

Data Pipelines - Build and maintain scalable ingestion and ETL pipelines on AWS.
AWS Data Services - Work with S3, Redshift, Glue, Lambda, and Databricks for batch processing.
SQL Engineering - Write optimized SQL for large datasets and analytical workloads.
Cloud Architecture - Design secure, high-performance data solutions using IAM best practices.
Data Quality - Ensure accuracy, consistency, and governance across data platforms.
Collaboration - Work with cross-functional teams in Agile environments.


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