Senior Data Engineer

🔥 12 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $185k - $245k / year

⏰ Full Time

🟠 Senior

🚰 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 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)