Senior Data Engineer

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee data ingestion using Fivetran, third-party connectors, and custom extraction methods.

• Manage orchestration across the dbt Platform and GitHub Actions.

• Take charge of materialization strategies and model performance.

• Transition essential models from nightly full rebuilds to incremental patterns.

• Develop source-schema change detection and alerting mechanisms.

• Implement observability with freshness SLAs, failure and drift alerting, and incident management.

• Address pipeline failures and facilitate upstream corrections.

• Control pipeline compute costs and evaluate freshness against expenditure.

• Provide Snowflake administration, including role-based access, security and network policies, data masking, PII controls, and storage organization.

• Expand the medallion architecture and Terraform-managed footprint, ensuring separation between development and production.

• Contribute to foundational modeling patterns, conformed dimensions, shared entities, and slowly changing dimension (SCD) patterns.

• Establish development environments and continuous integration for analyst model contributions.

• Review contributions from analysts.

• Create onboarding tools for engineers and analysts.

• Manage the data tooling stack, including access, integrations, and system connectivity.

• Utilize AI-assisted development tools, such as Claude Code skills, agents, and evaluations.

• Document systems and processes thoroughly.

• Report directly to the Head of Data Engineering, who has a direct line to the CEO.

⛳️ Requirements

• Minimum of 5 years in data engineering, responsible for production systems relied upon by others.

• Strong proficiency in Python and SQL, with hands-on experience in ingestion (Fivetran or similar), orchestration (dbt platform, GitHub Actions, or Airflow), and cloud infrastructure.

• Comprehensive understanding of Snowflake, including access control, warehouse sizing, query performance, and cost management.

• Practical experience with dbt, including incremental models, testing, macros, and a git-based workflow with continuous integration.

• Experience in creating SCD tables from multiple data sources.

• Familiarity with a Terraform-managed environment, where infrastructure changes undergo code review.

• Background in establishing reliability practices such as alerting, freshness SLAs, incident response, and schema change detection.

• Proficient in AI-assisted development tools like Claude Code, including agentic pipeline design and skill-based workflows.

• Comfortable integrating tools via MCP servers.

• Ability to clearly communicate incidents, their impact, and resolution timelines to stakeholders.

• Comfortable working in areas where established playbooks do not yet exist.

• Nice to have: experience in regulated or high-sensitivity data environments.

• Nice to have: experience with streaming or near-real-time ingestion.

• Nice to have: exposure to Iceberg, Parquet, or large-scale unstructured data.

• Nice to have: experience in B2B SaaS, particularly with small and mid-sized businesses or professional services firms.

🏝️ Benefits

• Competitive Salary & Equity.

• 401(k) Program with Employer Matching.

• Health, Dental, Vision, and Life Insurance.

• Short-Term and Long-Term Disability.

• Commuter Benefits (for in-office employees only).

• Autonomous Work Environment.

• Workplace Setup Reimbursement.

• Telecommuting Stipend.

• Flexible Time Off (FTO) plus Holidays.

• Quarterly Team Gatherings.

• In-office Perks (for in-office employees only).