Senior Data Engineer
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Job Description
Senior Data Engineer building pipelines, governance, and reliability for Eve’s AI-native legal technology platform. Owning Snowflake, dbt, Terraform, and ingestion infrastructure.
Responsibilities:
- Own ingestion through Fivetran, third-party connectors, and custom extraction
- Own orchestration across dbt Platform and GitHub Actions
- Own materialization strategy and model performance
- Move critical models from nightly full rebuilds to incremental patterns
- Build source-schema change detection and alerting
- Establish observability with freshness SLAs, failure and drift alerting, and incident ownership
- Respond to pipeline failures and drive upstream fixes
- Manage pipeline compute cost and freshness-versus-spend tradeoffs
- Share Snowflake administration, including role-based access, security and network policies, data masking, PII controls, and storage organization
- Extend the medallion architecture and Terraform-managed footprint, including development/production separation
- Contribute to foundational modeling patterns, conformed dimensions, shared entities, and SCD patterns
- Build development environments and CI for analyst model contributions
- Review analyst contributions
- Build onboarding tooling for engineers and analysts
- Administer the data tooling stack, access, integrations, and system connectivity
- Use AI-assisted development, including Claude Code skills, agents, and evals
- Document systems and processes
- Report to the Head of Data Engineering, who reports to the CEO
Requirements:
- 5+ years in data engineering, owning production systems other people depended on
- Strong Python and SQL, with production experience across ingestion (Fivetran or similar), orchestration (dbt platform, GitHub Actions, or Airflow), and cloud infrastructure
- Solid Snowflake: access control, warehouse sizing, query performance, and cost management
- Practical dbt: incremental models, testing, macros, and a git-based workflow with CI
- Experience building SCD tables from multiple sources
- Comfort in a Terraform-managed environment; infrastructure changes go through code review
- Experience building reliability practice: alerting, freshness SLAs, incident response, schema change detection
- Proficiency with AI-assisted development such as Claude Code, including agentic pipeline design and skill-based workflows
- Comfort integrating tools via MCP servers
- Ability to explain incidents, impact, and resolution timelines clearly to stakeholders
- Comfort building where the playbook does not yet exist
- Nice to have: experience in regulated or high-sensitivity data environments
- Nice to have: streaming or near-real-time ingestion experience
- Nice to have: exposure to Iceberg, Parquet, or unstructured data at scale
- Nice to have: B2B SaaS experience, especially 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 (in office employees only)
- Autonomous Work Environment
- Workplace Setup Reimbursement
- Telecomm Stipend
- Flexible Time Off (FTO) + Holidays
- Quarterly Team Gatherings
- In office Perks (in office employees only)
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