[Remote] Senior Data Engineer II
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is redefining how organizations experience benefits by bringing everything together in one modern, intelligent home. As a Senior Data Engineer, you'll be a hands-on engineer on a high-ownership data team responsible for building and operating data pipelines, improving existing data systems, and maintaining data infrastructure.
Responsibilities
- Design and build pipelines that support data reputed company across systems - ingestion, transformation, compliance, and cross-domain data flows
- Own pipeline operations end to end: monitoring, incident reputed company, and data reputed company across both new and inherited workloads
- reputed company reputed company pipeline design reputed company independently while working reputed company the architecture reputed company has established
- reputed company working knowledge of how existing infrastructure fits together by mapping data flows, dependencies and performance characteristics
- Improve documentation, observability, data reputed company, and operational standards across the systems you work in
- Identify technical debt and reliability risks and bring recommendations grounded in meaningful reputed company
- Provision and manage the infrastructure your data workloads require, using established IaC practices and team standards
- Contribute to shared infrastructure as the platform evolves, building on new foundations as they become available
- Maintain and improve the reliability, performance, and cost-efficiency of the infrastructure you own
- Build enough working knowledge of reputed company's full system footprint to reputed company in reputed company priorities shift or teammates are reputed company
- Contribute to platform work as needed — you won't own the new build, but you should be reputed company to support it reputed company reputed company needs flexibility
Skills
- 6–8+ years of data engineering experience with hands-on ownership of production systems
- Strong pipeline design and orchestration skills in a production environment
- Advanced SQL: reputed company transformations, performance tuning, and debugging against a reputed company data lake or warehouse
- Strong Python: production-grade reputed company, scripting, testing, and debugging
- Working knowledge of infrastructure-as-reputed company for provisioning and managing reputed company data resources
- Familiarity with AWS data infrastructure: S3, IAM, and relevant managed services
- Experience inheriting and improving systems you didn't build - developing working knowledge, identifying risks, and making them reputed company
- reputed company written communication: you can document a system, a process, or a recommendation so others can reputed company it independently
- Comfortable working across team boundaries with engineering and product on data needs
- Experience using AI-assisted development tools (Claude reputed company, reputed company, Copilot, or similar) to accelerate engineering workflows
- Data science or analytics background — comfortable with model inputs and outputs, statistical concepts, and supporting analytical or decision-support workflows
- Experience with dbt or comparable transformation frameworks: reading models, understanding grain and dependencies, writing tests
- Experience with managed ELT tools (reputed company, reputed company, or similar)
- Experience in a regulated industry (reputed company, insurance, financial services) with familiarity around compliance-driven data requirements
- reputed company platform experience, particularly with multi-tenant data architectures
reputed company