Later
Senior Data Platform Engineer
$125K–$205K
Boston, MA +4 · Senior · Full-time · Posted Oct 2, 2026
- Location
- Boston, MA
San Francisco, California, United States
Vancouver, British Columbia, Canada
Boston, MA
Vancouver, British Columbia, Canada - Experience
- 6+ years in data engineering, backend engineering, or platform engineering.
About the job
Own and evolve Later’s cross-cloud data platform, building reliable data infrastructure and services that support analytics and prepare trusted data for AI products.
What you'll do
- Design, modernize, and operate scalable data infrastructure, pipelines, orchestration, and transformation layers.
- Build backend services and integrations for secure data movement; implement infrastructure as code, CI/CD, observability, quality checks, and access controls.
- Improve data quality, metadata, lineage, governance, and freshness to support analytics, machine learning, LLMs, and AI agents.
What they ask for
- 6+ years in data engineering, backend engineering, or platform engineering.
- Strong backend programming skills (Python or similar), solid SQL, and dbt or a similar transformation framework.
- Hands-on cloud experience and comfort working across more than one cloud; experience with infrastructure as code, CI/CD, and workflow orchestration.
- Experience with batch and streaming architectures, and working understanding of security, access control, and data governance.
Nice to have
- Kubernetes, migrating or redesigning orchestration systems, or managed ingestion tools like Fivetran.
- Experience building internal platforms or tooling, or data foundations for AI such as vector stores, feature pipelines, or governed LLM access.
Pay
$125,000- 205,000 USD (base salary or total pay not specified); $110,000-160,000 CAD (base salary or total pay not specified)
Tools
GCP, BigQuery, AWS, Python, SQL, dbt, Fivetran, Kubernetes
AI focus
Build trusted, governed data foundations for analytics, machine learning, LLMs, and AI agents; partner with AI/ML teams and prepare the platform for new AI use cases.
Model-written summary · the original posting is authoritative