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TravelersSenior Data Engineer
Senior Associate Data Engineer contributing to Travelers' analytics landscape by building and operationalizing data solutions. Collaborating with teams to ensure reliable data delivery across the enterprise.
About the role
- Design and build foundational platform components for data ingestion, transformation, metadata, and lineage
- Develop reusable, cloud-native infrastructure and tooling across AWS, Azure, and on-prem environments
- Work across streaming (Kafka, Flink) and batch (Spark, SQLMesh, dbt) systems to support diverse data processing needs
- Enable open table formats (Iceberg, Delta Lake, Hudi) as first-class citizens of the platform
- Contribute to platform observability (e.g., Prometheus, Grafana), lineage (OpenLineage), and data quality tooling (Great Expectations)
- Implement GitOps-driven CI/CD pipelines, Terraform modules, and containerized deployments
- Partner with AI/ML, metadata, and governance teams to drive consistency, automation, and platform-wide operability
Requirements
- Strong engineering background in data infrastructure, platform engineering, or distributed systems
- Deep hands-on experience with open-source data tooling and frameworks (Kafka, Spark, Flink, Iceberg, dbt, SQLMesh, etc.)
- Proficiency with cloud-native services on AWS, Azure, or GCP—especially around data storage, compute, and orchestration
- Infrastructure-as-code mindset (Terraform, GitHub Actions, GitOps) and familiarity with container ecosystems (Kubernetes preferred)
- Comfort working on modular, multi-tenant systems that enable self-service, observability, and scalability by design
- Clear thinking around data architecture principles like data mesh, decentralized ownership, and federated governance.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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