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# Data Engineer AWS SQL PySpark Python S3 Glue Iceberg Snowflake Redshift Athena Talend dbt Data Architecture

- **Company:** Acunor Infotech
- **Location:** Erie, PA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Identity and Access Management, Python (Programming Language), Meta-Data Management, Cloud Services, SQL Databases, Data Streaming, Talend, Sql Optimization, Snowflake, IT Architecture, Amazon Virtual Private Cloud (VPC), Git, Pyspark, AWS Glue, Data Management, Splunk, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/355d0e3d-011c-4a2a-b01a-be0a1e5d314f

## About the Role

* 10 15 years of Data Engineering/Data Architecture experience.
 * Strong AWS experience including S3, IAM, and VPC.
 * Advanced SQL, PySpark, and Python.
 * Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog.
 * Experience with Snowflake, Redshift, and Athena.
 * Experience with AWS streaming services and Splunk.
 * Strong understanding of ETL/ELT, metadata management, and cloud-native data platforms.

Preferred Qualifications

 * Experience with petabyte-scale data environments.
 * Insurance industry experience.
 * Strong technical leadership and mentoring experience.

## Description

We are seeking a Senior Full-Stack Data Engineer with deep expertise in AWS, SQL, PySpark, and Python to architect, develop, and optimize next-generation cloud data platforms. The ideal candidate will have experience with large-scale data infrastructure and modern data engineering technologies.
Key Responsibilities

 * Design and develop scalable AWS cloud data platforms.
 * Build and optimize ETL/ELT pipelines using SQL, PySpark, and Python.
 * Work with petabyte-scale data infrastructure and modern data architectures.
 * Develop solutions using AWS Glue, S3, Iceberg, Snowflake, Redshift, and Athena.
 * Support data integration, streaming, metadata management, and data quality.
 * Implement CI/CD and version control using Git.
 * Provide technical leadership, architecture guidance, and mentoring.


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