Staff Data Engineer

🔥 16 hours ago

🇺🇸 United States – Remote

💵 $220k - $300k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Eve

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚖️ Legal

🤖 Artificial Intelligence

☁️ SaaS

🔥 Funding within the last year

💰 $103M Series B - Eve on 2025-09

Legal • Artificial Intelligence • SaaS

Eve is an AI-native legal software company that provides an AI operating system (EveOS) and suite of AI tools purpose-built for plaintiff law firms. Its platform automates and accelerates intake (24/7 multilingual intake and live signing), case evaluation, drafting (demand letters, complaints, discovery), medical chronologies, legal research, and litigation workflows through products like Eve Analyst, Eve Agents, Eve Auditor, Eve Research, and Atlas — a living data layer that auto-extracts and structures records. Eve emphasizes firm-wide intelligence and collaboration, integrates with existing case management systems or operates standalone, and markets itself as SOC 2 Type II certified and HIPAA-compliant. It's used by hundreds-to-thousands of plaintiff-focused firms to increase case capacity, speed up work, and improve settlements and firm performance.

📋 Description

• 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)