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# Data Engineer II

- **Company:** AllSTEM Connections
- **Location:** Ontario, CA, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Data Analysis, Automation of Tests, Unit Testing, Databases, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Software Debugging, Logical Databases, SAP (Applications), Software Construction, Software Engineering, Apache Spark, Information Technology, Data Management, Software Version Control, Data Pipelines
- **Published:** June 24, 2026
- **Apply:** https://www.dice.com/job-detail/a8771bef-353c-4ff6-a9f4-3cffa84b0a54

## About the Role

Education: BA/BS in Computer Science, Management Information Systems, or a related field (equivalent experience accepted).
Experience: Minimum of 3 years of hands-on experience within a Data Engineering or ETL ecosystem.
Technical Mastery:
Proven experience with major ETL and Data platforms (e.g., Spark, Informatica, Palantir Foundry, or SAP BODS).
Strong knowledge of Business Intelligence (BI) and data access tools.
Proficiency in software engineering best practices, including Source Control and Automated Testing.
Competencies: Strong analytical judgment and the ability to translate business requirements into logical database designs. Equal Opportunity Employer / Disabled / Protected Veterans

## Description

We are seeking a solution-oriented Data Engineer II to join our software delivery team. In this role, you will analyze existing systems, formulate logic for new data pipelines, and design logical database structures with a focus on interoperability and operational stability. You will be responsible for deploying moderately complex enhancements to our enterprise data systems, ensuring that data is accessible, reliable, and optimized for high-impact analytics. This is an ideal role for an engineer who balances technical coding expertise with strong analytical judgment to solve cross-functional data challenges., System Design & Development: Formulate logic for new data systems and devise complex database procedures. Design and deploy enterprise-level enhancements while ensuring compatibility with existing infrastructure.
ETL Pipeline Management: Build, test, and debug data pipelines within a best-in-class software delivery framework. Focus on "operational mindset" coding to ensure long-term system health.
Problem Solving: Resolve application programming and data analysis problems of moderate scope. Conduct in-depth analysis to obtain results for analytics-centric business challenges.
Software Excellence: Apply core software engineering principles, including unit testing, CI/CD, and source control, to deliver high-quality data solutions.
Collaboration: Partner with cross-functional teams and senior analysts to address technical problems spanning multiple technology areas.


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