Senior Operations Systems Engineer - Palantir & MES

Skydio; Hayward (CA); On-site; USD 145,000 - 219,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Skydio, the leading US drone company, seeks a Senior Operations Systems Engineer to build world-class manufacturing and operations systems for scaling US facilities. You will drive Palantir Foundry integrations, optimize material flow, and align with supply chain and production teams to improve productivity and profitability.

The role requires hands-on skills in SQL, Python, Java, and Palantir, with a focus on scalable data architectures and MES/MRP/PLM knowledge.

Qualifications

• Experience as an implementation lead for Palantir Foundry or similar products.
• Working level knowledge of SQL, Python, and Java to support building and reviewing customized applications and data pipelines.
• Deep knowledge of operations and manufacturing systems and processes, including MES, MRP and PLM.
• Deep understanding of data structures and building scalable data pipelines.

Responsibilities

• Collaborate with production, supply chain, quality, planning, and engineering to assess problems and needs.
• Conduct make vs buy decisions to meet company needs.
• Manage 3P implementation projects with stakeholders and vendors to ensure on-time delivery.
• Develop and implement applications/tools within Palantir to optimize material flow, ECOs, production scheduling, factory execution, and quality.
• Integrate new data sources while maintaining the Palantir ontology.
• Lead regular project meetings and report status, milestones, and risks to stakeholders.
• Provide feedback for continuous improvement across systems.

Skills

SQL

Python

Java

Data pipelines

Cross-functional collaboration

Tools

Palantir Foundry

Job description

Skydio, the leading US drone company, seeks a Senior Operations Systems Engineer to build world-class manufacturing and operations systems for scaling US facilities. You will drive Palantir Foundry integrations, optimize material flow, and align with supply chain and production teams to improve productivity and profitability.

The role requires hands-on skills in SQL, Python, Java, and Palantir, with a focus on scalable data architectures and MES/MRP/PLM knowledge.