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Industrial Data Systems Engineer

Union Technologies exists to protect, defend, and ensure the United States remains secure and free—so the West and her allies win. As The Energetics Prime, we are redefining the future of munitions with advanced technologies, resilient supply chains, and a relentless commitment to innovation.

We are looking for an Industrial Data System Engineer to develop robust data collection systems and experimental tools, enabling data-driven insights for process optimization during line bring-up and beyond.

Responsibilities:

  • Design and build comprehensive data collection systems tailored to complex manufacturing processes, including forging tool geometry optimization and precision heat treatment.

  • Develop and implement experimental frameworks to rapidly evaluate process parameters, supporting real-time decision-making.

  • Integrate and extend our SCADA/MES systems to capture high-fidelity data streams, enabling advanced analytics and visualization.

  • Collaborate closely with process and automation engineers to identify critical data points, sensor needs, and integration requirements.

  • Prototype and deploy custom sensor integrations or IoT solutions as needed to enhance data richness and accuracy.

  • Create and maintain a data playground platform, allowing key engineers and stakeholders to easily access, analyze, and visualize process data.

  • Facilitate a culture of data-driven experimentation, proactively identifying opportunities for process improvement and innovation.

Requirements:

  • 3+ years of experience developing data collection systems, sensor integrations, or experimental tooling in an industrial or manufacturing environment.

  • Strong proficiency in developing integrations with SCADA/MES systems; experience with industrial communications protocols preferred

  • Solid programming skills in Go or equivalent language

  • Proven ability to rapidly prototype data collection hardware/software and integrate diverse sensors.

  • Expertise with modern data analytics, visualization tools, and platforms (e.g., Python, Jupyter, Grafana, InfluxDB, TimescaleDB, or similar).

  • Exceptional communication skills, able to clearly articulate experimental outcomes, technical requirements, and recommendations to cross-functional teams.

Bonus Qualifications:

  • Familiarity with advanced statistical methods or machine learning techniques applied to manufacturing processes.

  • Experience in metallurgy, forging, heat treatment, or related processes.

Join us in transforming the future of energetics.

Average salary estimate

$100000 / YEARLY (est.)
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$80000K
$120000K

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What You Should Know About Industrial Data Systems Engineer, Union Technologies

At Union Technologies, we believe in making a difference. As an Industrial Data Systems Engineer, you'll be at the forefront of protecting and ensuring the security of our nation and allies through cutting-edge data-driven insights. Your role will be pivotal in designing and implementing sophisticated data collection systems that are crucial for optimizing our complex manufacturing processes—think forging tool geometry and precision heat treatment. You'll collaborate with fabulous process and automation engineers to pinpoint essential data points and sensor needs, making every bit of data count. Plus, your knack for integrating SCADA/MES systems will mean you'll capture high-fidelity data streams, enabling our teams to make real-time, informed decisions. Innovation is key here; your ability to create a data-friendly environment—like the data playground platform—will empower your colleagues to analyze and visualize critical data with ease. Ideal candidates will have at least 3 years of experience in an industrial setting and a passion for data-driven experimentation. If you're ready to shape the future of energetics at Union Technologies, we want to hear from you!

Frequently Asked Questions (FAQs) for Industrial Data Systems Engineer Role at Union Technologies
What are the main responsibilities of an Industrial Data Systems Engineer at Union Technologies?

An Industrial Data Systems Engineer at Union Technologies is responsible for designing and building comprehensive data collection systems, integrating SCADA/MES systems, and developing experimental frameworks. They're also expected to prototype custom sensor integrations, enhance data accuracy, and foster a culture of data-driven experimentation.

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What qualifications are required for the Industrial Data Systems Engineer position at Union Technologies?

To excel as an Industrial Data Systems Engineer at Union Technologies, candidates should possess over 3 years of experience in developing data systems within industrial environments, strong programming skills in languages such as Go, and a good grasp of SCADA/MES systems. Having expertise in modern data analytics tools is also essential.

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How does the role of an Industrial Data Systems Engineer contribute to innovation at Union Technologies?

The Industrial Data Systems Engineer contributes to innovation at Union Technologies by enabling data-driven insights that lead to process optimization. By developing robust data systems and collaborating across teams, they promote experimentation and identify opportunities for enhanced efficiency.

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What tools and technologies should an Industrial Data Systems Engineer be familiar with at Union Technologies?

An ideal Industrial Data Systems Engineer at Union Technologies should be well-versed in data analytics and visualization tools such as Python, Grafana, and TimescaleDB. Additionally, familiarity with industrial communication protocols and machine learning techniques will be beneficial.

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What types of projects might an Industrial Data Systems Engineer expect to work on at Union Technologies?

An Industrial Data Systems Engineer can expect to work on projects that involve optimizing manufacturing processes, integrating IoT solutions, and developing experimental frameworks that enhance data accessibility and visualization—essentially driving forward the future of energetics.

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Common Interview Questions for Industrial Data Systems Engineer
Can you describe your experience with data collection systems in an industrial setting?

When answering this question, highlight specific projects where you designed or implemented data collection systems. Discuss the tools and technologies you used and the impact your work had on process optimization.

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What programming languages do you use for developing data integration solutions?

For this question, mention your experience with relevant programming languages, particularly Go. Discuss how you've used these languages to develop integrations or prototypes in previous roles.

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How do you approach collaboration with process and automation engineers?

In your response, emphasize the importance of communication and teamwork. Share examples of how you've successfully collaborated to identify critical data points and sensor needs in past projects.

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What role does data analytics play in optimizing manufacturing processes?

Discuss how data analytics can provide actionable insights for improving efficiency and quality in manufacturing processes. Highlight your familiarity with specific tools you've used to analyze and visualize data.

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Can you explain a challenging project you've worked on involving experimental frameworks?

Share a detailed account of a challenging project, focusing on how you developed and implemented experimental frameworks. Discuss the outcomes and any lessons learned from that experience.

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What are some key considerations when integrating SCADA/MES systems?

Mention the importance of understanding the existing infrastructure and ensuring compatibility with industrial communication protocols. Discuss how proper integration can enhance data capturing and analytics.

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How do you stay updated with the latest advancements in data technologies?

Express your commitment to continuous learning. Share specific resources, conferences, or communities you engage with to stay informed about advancements in data technologies and tools.

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What data visualization tools have you worked with, and how have they supported your work?

Identify the specific visualization tools you have experience with, such as Grafana. Explain how these tools helped you present data insights to stakeholders and improve decision-making.

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Can you describe your experience with custom sensor integrations or IoT solutions?

Provide examples of projects where you've designed or integrated sensors into existing systems. Focus on the objectives, challenges faced, and the overall impact on data accuracy and richness.

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How do you prioritize tasks when working on multiple data systems projects simultaneously?

Address your organizational skills and prioritization strategies. Explain how you assess project timelines and resource availability to ensure effective project management and timely delivery.

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Full-time, on-site
DATE POSTED
April 9, 2025

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