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# Software Engineer III (Data Engineering)

- **Company:** Epitec, Inc.
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Salary:** $112,320.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Software Applications, Application Performance Management, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Database, Cloud Engineering, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Design, Database Queries, Github, Apache Hadoop, Python (Programming Language), Machine Learning, NoSQL, Software Architecture, Software Engineering, Strategies of Testing, Google Cloud, Sql Optimization, Apache Spark, Kubernetes, Deployment Automation, Data Management, Data Pipelines, Docker, Microservices
- **Published:** August 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=79fd78b95fcce3f9

## About the Role

* 5+ years of progressive experience in Data Engineering or a related field.
 * Strong experience with:
 + Python
 + Apache Spark
 + Hadoop
 + Kafka
 + Kubernetes
 + Docker
 + NoSQL Databases
 + Google Cloud Platform (GCP)
 + BigQuery
 + Cloud Infrastructure & Cloud Architecture
 + Data Architecture & Data Management
 * Advanced SQL skills, including complex queries and database design.
 * Experience building and supporting large-scale data pipelines and data platforms.
 * Strong understanding of data modeling, data warehousing, and ETL/ELT processes.
 * Experience with cloud-based data services and platforms.
 * Excellent problem-solving, analytical, and communication skills.
 * Experience working within Agile development environments., * GitHub experience
 * Machine Learning experience
 * Experience with AWS or Azure cloud platforms
 * Experience leading technical discussions and mentoring team members

## Description

We're looking for an experienced Software Engineer III with a strong background in Data Engineering to help design, build, and optimize large-scale data platforms and applications. This role will focus on data architecture, cloud technologies, big data systems, and scalable data pipelines supporting enterprise-level solutions., * Design, develop, test, and maintain software applications and data platforms.

 * Lead the design and implementation of scalable data architectures, including data lakes, data warehouses, and streaming platforms.
 * Develop, optimize, and maintain complex ETL/ELT pipelines for large-scale data processing.
 * Build and support APIs, microservices, and cloud-based solutions.
 * Collaborate with cross-functional teams including product owners, architects, and designers.
 * Create high-level software architecture and deployment strategies.
 * Improve application performance, scalability, and reliability.
 * Implement software testing strategies and best practices.
 * Support data security, governance, encryption, and privacy initiatives.
 * Continuously evaluate and adopt new technologies to improve development efficiency.


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