Senior Data Engineer

About the role

We are seeking a Senior Data Engineer to design and build the cloud data foundation supporting an advanced operational intelligence platform.

This platform depends on large volumes of operational, engineering, analytical, and contextual information, and this role will develop the pipelines, storage architecture, data models, APIs, and quality controls required to make that information securely and reliably available to applications.

What you'll do

• Design and implement the cloud data architecture that powers the platform.
• Build scalable ingestion, transformation, storage, and serving pipelines on AWS.
• Develop pipelines for operational, historical, engineering, application, and contextual data.
• Design data models optimized for analytical applications and AI consumption.
• Establish appropriate storage patterns across relational, object, time-series, and analytical data stores.
• Develop APIs and services enabling tools and agents to retrieve data consistently.

What you'll bring

• Bachelor's degree in Computer Science, Data Engineering, Engineering, or a related field.
• 5+ years of data engineering experience.
• Strong Python and SQL skills.
• Hands-on experience building production data pipelines in AWS.
• Experience with AWS data technologies such as S3, Glue, Lambda, RDS/Aurora, Redshift, Athena, Kinesis, or equivalent technologies.

Nice to have

• Experience with time-series data.
• Experience with streaming/event-driven architectures.
• Experience with industrial IoT, SCADA, historians, or operational technology data.

Why join

This role offers the opportunity to shape a modern cloud data platform from the ground up, working at the intersection of data engineering and AI.