1 month ago
Base Salary
$125k - $205k/yr
Responsibilities
- Design and own scalable data-platform infrastructure covering ingestion, orchestration, storage, transformation, and consumption.
- Build reliable batch and real-time pipelines, dbt transformation layers, and orchestration capabilities.
- Develop backend APIs, services, integrations, reusable tooling, and secure data movement between GCP and AWS.
- Manage infrastructure as code, automate deployments, and improve platform reliability, performance, observability, data quality, access controls, and cost efficiency.
- Build data foundations for analytics, machine learning, LLMs, and AI applications, including metadata, lineage, governance, and freshness.
- Make architectural decisions, modernize legacy platform components, mentor engineers, and partner with AI/ML, product, and engineering teams.
Requirements
- 6+ years of experience in data engineering, backend engineering, or platform engineering.
- Track record of owning production data systems at scale and improving reliability, performance, and cost.
- Strong backend programming skills in Python or a similar language, solid SQL, and experience with dbt or a similar transformation framework.
- Hands-on cloud experience, ideally with GCP and BigQuery, and comfort working across multiple clouds.
- Experience with infrastructure as code, CI/CD, workflow orchestration, and batch and streaming architectures.
- Working understanding of security, access control, data governance, and architectural tradeoffs.
- Preferred experience with Kubernetes, orchestration-system migration or redesign, Fivetran, internal platforms or tooling, vector stores, feature pipelines, or governed LLM access.
Benefits
- Permanent team members are eligible for various benefits plans.
- Positions may be based in Boston, Vancouver, or Vancouver, with fully remote hiring available for select positions.
- The role is posted with location-specific salary ranges for candidates in the US and Canada.
Tech Stack
Categories
BackendData Engineering
About Later
Later builds an influencer marketing and social media platform for brands to discover creators, run campaigns, analyze performance, and manage creator payments, with optional managed services. The company also offers a link-in-bio tool used by marketers and creators. Founded in 2014 and headquartered in Boston, it is privately held and used by enterprise customers such as Nike, Wayfair, Unilever, and Southwest Airlines.