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# Data Engineer

- **Company:** American CyberSystems
- **Location:** Pittsburgh, PA, United States
- **Experience:** Experienced
- **Salary:** $83,200.0 - $91,416.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Data as a Services, Information Engineering, Data Systems, Relational Databases, Distributed Data Store, Apache Hadoop, Python (Programming Language), Linux System Administration, Oracle (Applications), Software Tools, Google Cloud, Sql Optimization, Pandas, Pyspark, Data Management, Restful APIs, Oracle Cloud Infrastructure, Data Pipelines, Databricks
- **Published:** August 10, 2026
- **Apply:** https://public-rest34.bullhornstaffing.com/rest-services/2WXP1S/query/JobBoardPost?where=id=1022341&fields=id,title,publishedCategory(id,name),address(city,state),employmentType,dateLastPublished,publicDescription,isOpen,isPublic,isDeleted

## About the Role

* 3+ years of hands-on Python development experience
 * 3+ years of experience working with PySpark and Pandas for large-scale data processing and analytics
 * Proven experience designing, developing, and maintaining scalable data pipelines
 * Strong expertise in designing and developing RESTful APIs and data services
 * 3+ years of advanced SQL experience, preferably with Oracle (experience with any major relational database is welcome)

Nice to Have

 * Experience working with cloud platforms such as OCI, Azure, AWS, GCP, or similar environments
 * Familiarity with Linux-based systems and environments
 * Knowledge of the Hadoop ecosystem and distributed data-processing frameworks
 * Experience with Databricks and modern data engineering tools

## Description

We're looking for a Data Engineer to join our rapidly growing AI & Digital Innovation team and help shape the future of manufacturing through cutting-edge technology, scalable data platforms, and intelligent applications.
In this role, you'll be at the heart of our data ecosystem, designing robust data pipelines, building high-performance APIs, and enabling AI-powered insights that drive critical business decisions. You'll collaborate with data scientists, analysts, and software engineers to transform complex data into powerful solutions that fuel innovation and operational excellence., * Architect and develop scalable, reliable, and high-performing data pipelines that support analytics, AI, and operational workloads.

 * Create and maintain RESTful APIs and data services that empower teams with seamless access to trusted data.
 * Process and transform large-scale datasets using PySpark, Pandas, and Databricks.
 * Partner closely with Data Scientists, AI Engineers, Analysts, and Product Teams to deliver impactful data solutions.
 * Ensure data quality, integrity, governance, and security across all systems and applications.
 * Document architectures, workflows, and best practices to promote collaboration and knowledge sharing.

Why Join Us

 * This is more than a Data Engineering role. It's an opportunity to work at the intersection of AI, data, and manufacturing transformation, solving complex challenges and building technology that creates measurable business impact. You'll be part of a collaborative team that values innovation, continuous learning, and the power of data to drive the future.
 * If you're excited about building scalable data solutions and enabling AI at scale, we'd love to hear from you.


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