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Data Engineer

Remote / Online - Candidates ideally in
Rochester, Strafford County, New Hampshire, 03867, USA
Listing for: Safran Aerospace Composites
Full Time, Remote/Work from Home position
Listed on 2026-02-16
Job specializations:
  • Engineering
    Data Engineer, Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

POWERED BY TEAMWORK. Are you ready to be part of a team that drives big ideas and even bigger wins? At Safran, we believe in the power of both collaboration, and individual contributions. We understand that it takes diverse perspectives, problem-solving skills, dependability, and trust to push each other forward and achieve great success. For us, working here is more than just a job;

it's a passion. There's the unique opportunity to lead the way in aerospace and defense and contribute to creating a safer and more sustainable world.

We trust our employees to bring bold ideas to build the future of aerospace together, contributing to our ranking by TIME as the leading Aerospace & Defense company on the 2023 World s Best Companies list (#59 on the full list). Join our team and become part of the group that s making amazing things happen on the ground and in the skies.

Together, we ll proudly step back and say, "We did that."

Safran Aircraft Engines designs, produces, and sells, alone or in partnership, commercial and military aircraft engines offering world-class performance. Through CFM International, Safran Aircraft Engines is the world s leading supplier of engines for single-aisle mainline commercial jets. Safran Aerospace Composites in Rochester, NH is dedicated to the production of 3D woven composite parts, made using the RTM (resin transfer molding) process.

The first application of this technology is the production of blades and fan cases for the LEAP engine, designed to power the next generation of single-aisle aircraft. This technology creates less noise and decreases fuel consumption for aircraft engines, thereby reducing greenhouse gas emissions. We do this with energy, passion, and curiosity, and we re backed by our rich heritage and culture of innovation.

CFM International is a 50/50 joint company between Safran Aircraft Engines and GE.

Benefits

In addition to our generous paid time off, comprehensive health insurance, and exceptional 401(k) employer contributions, we offer:

  • Four day work week, Mon-Thu (10 hour days), flexible work from home one day per week
  • Performance-based bonuses
  • Tuition Reimbursement
  • Fitness reimbursement
  • Paid parental leave
  • Wellness programs
Position Summary

This position will be a key member of the Data / IT Team supporting the manufacturing of 3D woven composite engine components. This role encompasses everything associated with data management to support production. You will help build and maintain the systems that collect, process and store data. You will also support the deployment of the new software solutions requested by SAFRAN.

You will collaborate closely with multi-cultural cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions.

This is a first shift position, Monday-Thursday, 7am-5pm.

Responsibilities
  • Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
  • Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
  • Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
  • Optimize data storage and retrieval mechanisms for performance and scalability.
  • Evaluate and implement data storage solutions, including relational databases, No

    SQL databases, data lakes, and cloud storage services.
  • Build and maintain integrations with internal and external data sources and APIs.
  • Implement RESTful APIs and web services for data access and consumption.
  • Ensure compatibility and interoperability between different systems and platforms.
  • Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks.
  • Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver tailored solutions.
  • Document technical designs, workflows, and best practices to facilitate knowledge sharing and…
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