Senior Data Engineer

United StatesRemotesenior

Data EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Key Responsibilities

freshness SLAs on critical tables, alerting on failure and drift, and an incident path with clear ownership Be a first responder when pipelines break,

Technical Tools

Data EngineerData

Responsibilities

~1 min read

→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

Build and maintain the development environments and CI that let analysts contribute models safely, and review their contributions so more of the company can build on the foundation
Build the tooling and setup that gets a new engineer or analyst productive in days, not weeks
Administer the data tooling stack: access, integrations, and the connective work between systems
Use AI-assisted development as part of how you work: Claude Code skills, agents, and evals, held to the same review bar as anything else
Document as you build. If it isn't written down, it isn't done

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 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, and comfort integrating tools via MCP servers
Able to tell a stakeholder what broke, what it affected, and when it'll be fixed, without the jargon
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 with streaming or near-real-time ingestion, and knowing when it isn't worth it
Exposure to Iceberg, Parquet, or unstructured data at scale
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

$185,000—$245,000 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

Signal breakdown

freshnesssource trustcontent trustemployer trust

Apply for this position

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

View company profile

Salary

USD 185000-245000

per year

Apply now