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# AWS Data Engineer (Python/PySpark)

- **Company:** GRACEMARK, LLC
- **Location:** Minneapolis, MN, United States
- **Salary:** $104,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Big Data, Databases, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Operational Databases, Oracle (Applications), Software Tools, Amazon Simple Notification Service (SNS), SQL Databases, Data Streaming, Technical Data Management Systems, Cloud Platform System, GitHub Copilot, Snowflake, AWS Lambda, Cloudformation, Build Management, Pyspark, AWS Glue, AWS Data Analytics, Data Pipelines, Serverless Computing, Amazon Elastic Mapreduce (EMR), Jenkins
- **Published:** July 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=766855012b786e83

## About the Role

We are seeking an experienced AWS Data Engineer with strong expertise in cloud data engineering, ETL development, and data platform solutions. The ideal candidate will have hands-on experience designing, developing, and delivering scalable data solutions using AWS services, Python, SQL, and big data technologies., * Experience working in Financial Services, Brokerage, or related industries is a strong plus.

 * Ability to design, develop, and support enterprise-level data solutions.
 * Strong problem-solving skills and ability to translate business requirements into technical solutions., * Do you have a Green Card or are you a U.S. Citizen?
 * Do you have hands-on experience developing data solutions using Python and SQL?
 * Do you have hands-on experience working with Oracle and SQL Server databases?
 * Do you have professional experience developing ETL/data pipelines using PySpark?
 * Do you have hands-on experience designing and implementing AWS cloud data solutions?
 * Do you have experience working with key AWS data services such as S3, Lambda, Glue, EMR, EMR Serverless, Step Functions, Athena, EC2, CloudFormation, and SNS?
 * Do you have experience building and supporting enterprise-level data pipelines and production data solutions?
 * Do you have experience translating business requirements into technical data engineering solutions?

## Description

* Python (Mandatory)
 * SQL (Mandatory)
 * Java / Scala (Nice to have)

Databases:

 * Oracle (Mandatory)
 * SQL Server (Mandatory)
 * Snowflake (Nice to have)
 * PostgreSQL (Nice to have)

ETL / Data Engineering Tools:

 * PySpark (Mandatory)
 * Informatica (Nice to have)

Cloud Platform:

 * AWS (Mandatory)

AWS Technologies Required:

 * Amazon S3
 * AWS Lambda
 * AWS Glue
 * Amazon EMR
 * EMR Serverless
 * AWS Step Functions
 * Amazon Athena
 * Amazon EC2
 * CloudFormation Templates
 * SNS Topics

AWS Technologies Preferred:

 * Glue ETL
 * Kinesis Data Streams
 * Kinesis Firehose

AI Tools (Nice to Have):

 * AWS Bedrock
 * AWS Bedrock Agent Core
 * Kiro
 * GitHub Copilot

Build & Deployment (Nice to Have):

 * Jenkins
 * CI/CD Pipelines


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