Senior Data Engineer jobs in United States
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Atomic Machines · 8 hours ago

Senior Data Engineer

Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. The Senior Data Engineer will design, implement, and maintain data pipelines and infrastructure to support manufacturing processes, collaborating closely with various engineering teams to ensure data integrity and optimize operations.

ManufacturingSemiconductor
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H1B Sponsor Likelynote

Responsibilities

Design, build, and maintain scalable workflows for data collection, transformation, and storage
Process and analyze structured or semi-structured manufacturing data
Develop data pipelines to process and prepare data for ML model training and data analysis
Develop, customize, and maintain interactive dashboards, reports, and visualizations for experimentation results and business metrics
Ensure real-time data handling for ML applications (e.g., digital twins) and process monitoring
Work with inspection engineers/technicians to collect datasets and collaborate with process engineers to ensure quality control in manufacturing processes
Experience with real-time data processing frameworks (Apache Kafka, Spark Streaming, etc.)
Experienced with BI toolsets and data-visualization frameworks (including Apache Superset) for reporting and analytics
Build validation tests to compare in-house inspection algorithms with commercial tools
Establish process monitoring frameworks by creating data storage solutions and implementing structured labeling for process input parameters and associated outputs
Develop online statistics and analytics for process control and optimization
Analyze observable time-series data corresponding to different manufacturing process stages
Work with process engineers on data collection requirements and communicate those requirements to hardware designers
Collaborate with cross-functional teams, including process engineers, chemical engineers, materials scientists, simulation engineers, software developers, data scientists, and AI engineers, to optimize data workflows and improve operational efficiency

Qualification

Data engineeringBig-data processingPythonManufacturing processesData storage solutionsReal-time data processingData visualizationAnalytical mindsetAttention to data qualityCollaborationProblem-solving

Required

6+ years after Bachelor's / 4+ years after Master's of industry experience
A first-principles mindset — you question assumptions, reframe problems from the ground up, and approach challenges with a foundational understanding rather than relying solely on precedent
Proven experience in data engineering, data flows, and big-data processing
Proficiency in Python and programming languages such as SQL
Proficiency in data storage solutions (Data Lakes, Cloud Storage, SQL, NoSQL)
Understanding of manufacturing processes, sensors, and process automation
Industry-level experience in guiding and automating data collection and processing in manufacturing environments
Knowledge of DevOps practices
Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
Strong analytical mindset, attention to data quality, and ability to translate complex data into clear insights for both technical and non-technical stakeholders
Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or a related STEM field

Preferred

Experience in data science for manufacturing – e.g., building data-driven predictive pipelines using statistics- and/or ML-based methods
Experience with real-time data processing frameworks (Apache Kafka, Spark Streaming, etc.)
Experienced with BI toolsets and data-visualization frameworks (including Apache Superset) for reporting and analytics

Benefits

Equity
Benefits

Company

Atomic Machines

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Atomic Machines are into MEMS micro- and nano-fabrication.

H1B Sponsorship

Atomic Machines has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (7)
2023 (3)

Funding

Current Stage
Growth Stage
Total Funding
unknown
2021-02-15Seed
2020-04-01Seed

Leadership Team

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Jeff Holden
Founder and CEO
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Terry Sauer
Operations Program Manager
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Company data provided by crunchbase