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# Sr. Data Engineer

- **Company:** Ampcus Inc
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Big Data, Cloud Database, Program Optimization, Information Engineering, Data Integration, Data Integrity, Amazon DynamoDB, Python (Programming Language), Cloud Services, DataOps, SQL Databases, Data Processing, Electronic Medical Records, Pyspark, Integration Frameworks, Functional Programming, Data Pipelines, Databricks
- **Published:** August 31, 2026
- **Apply:** https://www.careerjet.com/job/us9ac8b0be30a2876d514c8ae9b2bd5863/eaa

## About the Role

We are seeking a highly skilled Sr. Data Engineer to join our team in Chicago. The ideal candidate will have extensive experience in data engineering, cloud services, and big data technologies, with a strong focus on AWS services, Python programming, and data processing frameworks., * Experience: Proven experience in data engineering, cloud services, and big data technologies.

 * Technical Skills: Proficiency in AWS (EMR, DynamoDB, S3, Lambda), Python, PySpark, Databricks, and SQL.
 * Problem-Solving: Strong troubleshooting skills and ability to resolve complex technical issues.
 * Communication: Excellent verbal and written communication skills to interact effectively with team members and stakeholders.

## Description

* AWS Management: Utilize AWS services such as EMR, DynamoDB, S3, and Lambda to manage and optimize cloud-based data infrastructure.
 * Python Programming: Develop and maintain scripts and applications using Python to automate data processing tasks and improve system efficiency.
 * Big Data Processing: Implement and manage data processing workflows using PySpark and Databricks to handle large-scale data sets.
 * Database Management: Design, implement, and maintain SQL databases to ensure data integrity, performance, and accessibility.
 * Data Integration: Integrate data from various sources, ensuring consistency and reliability for analytics and reporting.
 * System Optimization: Perform regular system upgrades, troubleshooting, and compliance checks to maintain secure and reliable data operations.
 * Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.
 * Travel: Ability to travel to local and remote sites as needed to support organizational objectives.


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