Data Engineer
At a glance
Mid-level Data Engineering role at Innovative Rocket Technologies Inc. Hauppauge · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Innovative Rocket Technologies Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build data pipelines for test stands, manufacturing equipment, launch telemetry and operations systems
- Create dashboards and live monitoring, then develop tools to spot anomalies and track performance
- Turn needs from propulsion, manufacturing and operations engineers into useful data products
- Maintain data architecture, ETL workflows, cloud and edge data systems, and analytics tools
- Support A/B tests and performance measures, feeding findings into design and manufacturing work
What you bring
- A bachelor's degree in computer science, data engineering or a related technical discipline
- At least two years building data pipelines, ETL or ELT workflows, and analytics systems
- Working proficiency in Python, SQL, cloud data platforms, real-time analytics and dashboard tools
Who this fits
This mid-level role suits someone who can deliver data products alongside engineering and operations teams. The job is onsite in Hauppauge, United States.
From the employer
Data is pivotal to our goal of frequent launch and rapid iteration. We’re recruiting a Data Engineer at iRocket to build pipelines, analytics, and tools that support propulsion test, launch operations, manufacturing, and vehicle performance.
The Role
- 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.
Requirements
- 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.
Benefits
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Family Leave (Maternity, Paternity)
- Short Term & Long Term Disability
- Wellness Resources