Senior Data Platform Engineer - AI-Driven & Snowflake

Butler Labs, Inc.; United States; Remote; USD 185,000 - 210,000; Full time

Benefits offered by this job

Competitive Salary & Equity

401(k) Program with Employer Matching

Health, Dental, Vision and Life

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

Job summary

Eve Legal is redefining legal technology in the United States and building a data-driven platform to support growth. You will own end-to-end data pipelines, from ingestion to production, ensuring reliability, cost control, and scalable modeling foundations for analytics across the business.

You will collaborate with a central data team, report to the Head of Data Engineering, and partner with leadership to ensure timely, accurate insights.

Qualifications

• 5+ years in data engineering, owning production systems other people depended on.
• Strong Python and SQL, with production experience across ingestion, orchestration, 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.
• Comfort in a Terraform-managed environment. Infrastructure changes go through code review here, not the Snowflake console.
• You’ve built reliability practice where none existed: 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.

Responsibilities

• Own ingestion through Fivetran, third-party connectors, and custom extraction where no connector exists.
• 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.
• Be a first responder when pipelines break, and drive the fix upstream so the same failure doesn't recur.
• Manage pipeline compute cost, and make the tradeoffs between freshness and spend explicit rather than accidental.
• Share Snowflake administration: implementing the role-based access model, security and network policies, data masking and PII controls, and storage organization.
• Extend the medallion architecture and the Terraform-managed footprint, including full separation of development and production.
• 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.

Skills

Python

SQL

dbt

Terraform

Snowflake

Orchestration

Cloud platforms

GitHub Actions

Tools

Fivetran

dbt

GitHub Actions

Airflow

Snowflake

Terraform

Job description

Eve Legal is redefining legal technology in the United States and building a data-driven platform to support growth. You will own end-to-end data pipelines, from ingestion to production, ensuring reliability, cost control, and scalable modeling foundations for analytics across the business.

You will collaborate with a central data team, report to the Head of Data Engineering, and partner with leadership to ensure timely, accurate insights.