Senior Data Engineer to join the Data Engineering Community that designs data pipelines and data structures within a matrix organization. This team acts as the connective tissue for aligning data strategy, sharing best practices, and accelerating innovation across diverse product-focused initiatives. You will work on the Data Visualization product team building reporting engines that surface insights from our products.

Responsibilities

Qualifications:

Create sustainable data contracts that address data governance requirements.
Model complex data sources into performant analytics.
Create and manage a data transformation layer that can become a core part of our analytic process.
Collaborate with product engineering teams to deliver data solutions that enhance customer-facing products.
Establish and contribute to shared tooling for observability, lineage tracking, and configuration validation.
5+ years of data engineering experience.
Experience with dimensional modeling and incremental data models.
Skilled in implementing data observability frameworks, designing robust data contracts, and optimizing data structures for performance and scalability.
Software development skills in Go, JVM-family, Python, and/or Node.js with cloud-native architectures.
Experience manipulating, processing, and extracting value from medium-to-large scale datasets, especially relevant to cybersecurity or industrial data.
Knowledge of integrating cloud and on-premises technologies in industrial environments, with deployments on Kubernetes and Docker.
Experience with message

About the role

Senior Data Engineer to join the Data Engineering Community that designs data pipelines and data structures within a matrix organization. This team acts as the connective tissue for aligning data strategy, sharing best practices, and accelerating innovation across diverse product-focused initiatives. You will work on the Data Visualization product team building reporting engines that surface insights from our products.

Responsibilities

Qualifications:

Create sustainable data contracts that address data governance requirements.
Model complex data sources into performant analytics.
Create and manage a data transformation layer that can become a core part of our analytic process.
Collaborate with product engineering teams to deliver data solutions that enhance customer-facing products.
Establish and contribute to shared tooling for observability, lineage tracking, and configuration validation.
5+ years of data engineering experience.
Experience with dimensional modeling and incremental data models.
Skilled in implementing data observability frameworks, designing robust data contracts, and optimizing data structures for performance and scalability.
Software development skills in Go, JVM-family, Python, and/or Node.js with cloud-native architectures.
Experience manipulating, processing, and extracting value from medium-to-large scale datasets, especially relevant to cybersecurity or industrial data.
Knowledge of integrating cloud and on-premises technologies in industrial environments, with deployments on Kubernetes and Docker.
Experience with message

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