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# Data Engineer

- **Company:** Innovative Rocket Technologies Inc.
- **Location:** Hauppauge, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Databases, Information Engineering, Extract Transform Load (ETL), Data Systems, Systems Analysis, Python (Programming Language), Power BI, Cloud Services, SQL Databases, Data Streaming, Tableau (Software), Test Data, Time Tracking Software, Scripting, Google Cloud, Build Management, Information Technology, Data Analytics, Operational Systems, Data Management, Stream Analytics, Data Pipelines
- **Published:** August 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-hauppauge-ny--5ebf7c39-aaa7-426a-9c0e-2d27fc37786d

## About the Role

* Bachelor's degree in Computer Science, Data Engineering, or related technical field.
 * 2+ years of experience building data pipelines, ETL/ELT workflows, and analytics systems.
 * Proficient in Python, SQL, cloud data platforms (AWS, GCP, Azure), streaming/real-time analytics, and dashboarding (e.g., Tableau, PowerBI).
 * Strong ability to work cross-functionally and deliver data-products to engineering and operations teams.
 * Strong communication, documentation, and a curiosity-driven mindset., A/B Testing, Amazon Web Services (AWS), Cloud Computing, Communication Skills, Computer Science, Cross-Functional, Data Analysis, Data Management, Database Extract Transform and Load (ETL), Documentation, GCP (Good Clinical Practices), Health Plan, Machine Tool, Manufacturing, Manufacturing Operations, Microsoft Windows Azure, Performance Metrics, Power BI, Product Engineering, Propulsion, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Systems Analysis, Tableau, Technical Recruiting, Telemetry, Test Data, Testing, Time Tracking

## Description

* Design and build data pipelines for test stands, manufacturing machines, launch telemetry, and operations systems.
 * Develop dashboards, real-time monitoring, data-driven anomaly detection, performance trending, and predictive maintenance tools.
 * Work with engineers across propulsion, manufacturing, and operations to translate data-needs into data-products.
 * Maintain data architecture, ETL processes, cloud/edge-data systems, and analytics tooling.
 * Support A/B testing, performance metrics, and feed insights back into design/manufacturing cycles.


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