Staff Data Engineer

United StatesRemotelead

OtherStaff Data Engineer

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Quick Summary

Key Responsibilities

role hierarchy, least-privilege grants across the medallion layers, and scoped access for service accounts, BI tools,

Technical Tools

OtherStaff Data Engineer

Responsibilities

~2 min read

→Own the role-based access model: role hierarchy, least-privilege grants across the medallion layers, and scoped access for service accounts, BI tools, and AI agents rather than broad inherited access
→Manage grants as code and run the access review cycle, so the process itself is the audit evidence
→Own Snowflake administration: security and network policies, data masking and PII controls, storage organization, compute cost, and retention
→Extend the medallion architecture and the Terraform-managed footprint. Own state, module design, and environment promotion, including full separation of development and production
→Own ingestion through Fivetran, third-party connectors, and custom extraction where no connector exists, including a defined review of what data is allowed to land
→Own orchestration across dbt platform and GitHub Actions, own materialization strategy and model performance, move critical models off nightly full rebuilds onto incremental patterns, and cut latency where decisions are waiting on stale data
→Build source-schema change detection, so an upstream field change surfaces as an alert before it reaches a report
→Stand up observability: freshness SLAs on critical tables, alerting on failure and drift, and an incident path with clear ownership
→Contribute to the foundational modeling layer the Analytics Engineers build on: source-to-staging patterns, conformed dimensions, shared entities, and SCD patterns that make history reliable

Define the dbt project architecture and the git-based development workflow, CI, and testing standards every model passes through, including the macro and package libraries and the isolated development environments that let analysts contribute safely
Partner on data retention and customer data handling policy, and implement the technical controls behind it
Establish how the team uses AI-assisted development: Claude Code skills, agents, and evals as part of the workflow, held to the same review bar as anything else
Build the tooling and setup that gets a new engineer or analyst productive in days, not weeks
Document as you build. If it isn't written down, it isn't done
Mentor engineers and analysts, and set the technical bar for how data engineering gets done at Eve

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. Plus masking, PII controls, and cost management
Strong Python and SQL, with 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: project structure, guardrails, and CI that lets people with mixed skill levels extend a codebase safely
Experience with layered warehouse architecture (medallion or equivalent) and managing infrastructure as code with Terraform, including state and environment promotion
You've built the access and governance layer somewhere that had to pass an audit
Track record building reliability practice from zero: freshness SLAs, alerting, incident response, schema change detection
Proficiency with AI-assisted development such as Claude Code, including agentic pipeline design and skill-based workflows, and comfort integrating tools via MCP servers
Strong communication, a habit of mentoring, and comfort building where the playbook doesn't exist yet

Nice to Have

~1 min read

Experience in a regulated or high-sensitivity data environment (legal, healthcare, financial services)
Experience supporting ML or GenAI workloads: feature stores, unstructured data, Snowflake Cortex
B2B SaaS, especially selling to small and mid-sized businesses or professional services firms

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Eve and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location.

US Salary Range

$220,000—$300,000 USD

What We Offer

~1 min read

💰 Competitive Salary & Equity
💹 401(k) Program with Employer Matching
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚗 Commuter Benefits*
🧑‍💻 Autonomous Work Environment
🖥️ Workplace Setup Reimbursement
🏠 Telecomm Stipend
🏝 Flexible Time Off (FTO) + Holidays
🚀 Quarterly Team Gatherings
🥪 In office Perks*

*In office employees only

Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter.

We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location & Eligibility

Where is the job

United States

Remote within one country

Who can apply

Listing Details

Posted: September 15, 2026
First seen: September 15, 2026
Last seen: September 16, 2026

Posting Health

Days active: 0
Repost count: 0
Trust Level: 87%
Scored at: September 15, 2026

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Eve

greenhouse

Eve Legal provides innovative AI-driven solutions that optimize the case management process for plaintiff law firms, enhancing efficiency and revenue potential.

Employees

Founded

2023

Domain

eve.legal

Jobs

View 65 jobs

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Salary

USD 220000-300000

per year

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