Staff Data Engineer
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Job Description
Staff Data Engineer setting direction for Eve’s Snowflake and dbt data platform. Building secure, reliable infrastructure for AI-powered plaintiff law firm workflows.
Responsibilities:
- Own the role-based access model, including role hierarchy, least-privilege grants, and scoped access for service accounts, BI tools, and AI agents
- Manage grants as code and run the access review cycle
- Own Snowflake administration, including security and network policies, data masking, PII controls, storage organization, compute cost, and retention
- Extend the medallion architecture and Terraform-managed footprint, including state, module design, and environment promotion
- Own ingestion through Fivetran, third-party connectors, and custom extraction
- Own orchestration across dbt Platform and GitHub Actions, materialization strategy, model performance, incremental patterns, and latency reduction
- Build source-schema change detection and establish observability with freshness SLAs, alerting, drift detection, and incident ownership
- Contribute to foundational modeling: source-to-staging patterns, conformed dimensions, shared entities, and SCD patterns
- Define dbt project architecture, Git-based development workflow, CI, testing standards, macro and package libraries, and isolated development environments
- Partner on data retention and customer data handling policy and implement technical controls
- Establish AI-assisted development practices using Claude Code skills, agents, and evals
- Build tooling and setup to make new engineers and analysts productive quickly
- Document systems and processes
- Mentor engineers and analysts and set the technical bar for data engineering
- Set technical direction for a data platform handling product usage, case and firm data, go-to-market systems, and AI-agent queries
- Report to the Head of Data Engineering on the central data team
Requirements:
- 8+ years in data engineering, including time at a staff or senior IC level setting technical direction others followed
- Deep Snowflake administration, especially designing a role-based access model from scratch: role hierarchy, least-privilege grants, and scoping access for service accounts and tools
- Experience with masking, PII controls, and cost management
- Strong Python and SQL
- Production experience across ingestion (Fivetran or similar), orchestration (dbt platform, GitHub Actions, or Airflow), and cloud infrastructure
- Advanced dbt: modeling patterns, macros, incremental models, testing, and slim or state-based CI
- Experience building SCD tables from multiple sources
- Experience building the dbt developer experience for contributors outside a core engineering team
- Experience with layered warehouse architecture (medallion or equivalent)
- Experience managing infrastructure as code with Terraform, including state and environment promotion
- Experience building an access and governance layer that passed an audit
- Track record building reliability practice from zero: freshness SLAs, alerting, incident response, and 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
- Strong communication, mentoring, and comfort building where the playbook does not exist yet
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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