Senior Staff / Staff Software Engineer at Scowtt in Seattle / San Francisco

Job description

• We are looking for a Senior / Staff Software Engineer — Data Platform to build and evolve the data and application systems that power our Marketing AI and AI Sales Agents. This is a hands-on engineering role with significant ownership across data pipelines, backend applications, analytics systems, and customer data integrations. You will build systems that ingest data from a wide variety of customer platforms, transform it into reliable and curated datasets, and make that data available to our ML systems, analytics applications, and customer-facing products. The role is primarily backend focused, but we are a startup—you should be comfortable working across the stack and occasionally building frontend functionality when needed to get a product or capability shipped. We value engineers who can take an ambiguous problem, determine the right technical approach, and drive it independently from design through production.

Responsibilities

• Own backend and data systems end-to-end, from architecture and implementation to production operation and scale
• Design and build scalable data pipelines for CRM, web, advertising, product, and other customer data
• Build integrations with data warehouses and platforms such as BigQuery, Snowflake, Databricks, Redshift, and customer-managed databases
• Design reliable ingestion patterns across APIs, cloud storage, databases, data sharing, batch processing, and event-driven systems
• Build curated datasets and data models used by ML systems, analytics, reporting, and customer-facing applications
• Develop backend APIs, services, and internal applications using Python and TypeScript
• Build systems for large historical backfills as well as reliable, low-latency incremental processing
• Solve systemic problems around data quality, schema evolution, scalability, observability, reliability, and operational efficiency
• Build tooling that makes customer onboarding, data validation, configuration, and troubleshooting faster and more automated
• Work across GCP and AWS and make pragmatic architecture decisions based on the problem at hand
• Occasionally contribute to frontend applications when necessary to deliver complete product experiences
• Help define architecture, engineering standards, and reusable patterns as the platform scales
• Mentor other engineers and raise the engineering bar across the team
• Follow and enforce security best practices, including secure coding, proper handling of sensitive data, authentication/authorization controls, and compliance with company security policies

Requirements

• Qualifications
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• 7+ years of experience building production software systems
• Strong hands-on software engineering experience with Python and TypeScript / Node.js
• Significant experience designing and operating backend services and production data pipelines
• Strong SQL skills and experience working with large datasets and analytical databases
• Experience building and operating systems in GCP and/or AWS
• Demonstrated ability to independently own complex systems from design through production
• Strong problem-solving skills and ability to move quickly in ambiguous environments
• Experience with modern data warehouses and platforms such as BigQuery, or Redshift
• Experience building ingestion frameworks across APIs, databases, object storage, and event-driven systems
• Strong understanding of distributed systems, data modeling, idempotency, retries, concurrency, and failure recovery
• Experience building curated datasets and data infrastructure supporting machine learning and analytics workloads
• Experience designing production APIs and backend services at scale
• Experience with cloud services such as GCS, S3, Cloud Run, Lambda, SQS/PubSub, Postgres/RDS, or equivalent technologies
• Strong understanding of monitoring, observability, automated testing, and production operations
• Proven ability to influence technical direction through architecture and execution
• Experience integrating with CRM and marketing platforms such as Salesforce, HubSpot, Google Ads, Meta, or similar systems
• Experience building multi-tenant SaaS platforms
• Familiarity with ML training, feature generation, inference, and model-serving workflows
• Experience with modern frontend frameworks such as React or Next.js
• Experience with Terraform or other Infrastructure as Code tooling
• Familiarity with ad-tech, mar-tech, sales-tech, or CRM ecosystems
• Experience building developer platforms, data onboarding frameworks, or self-service data tooling

Skills

Required

• Python
• TypeScript / Node.js
• SQL
• Backend services
• Data pipelines
• GCP and/or AWS
• Problem-solving
• Ambiguity handling

Preferred

• BigQuery
• Redshift
• Distributed systems
• Data modeling
• Idempotency
• Retries
• Concurrency
• Failure recovery

Benefits

• Based on the level hired at and location, the base salary for this role will be in the range $180,000 - $260,000. Selected candidate/s will be eligible for standard benefits and attractive startup equity.