Staff Data Engineer

Eve

. Own the role-based access model, including role hierarchy, least-privilege grants, and scoped access for service accounts, BI tools, and AI agents .

Posted 9/15/2026full-timeRemote • United StatesLead💰 $220,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Snowflake administration, including role-based access model design, data governance, and cost management. Proficient in building and managing data ingestion and orchestration processes, with a strong focus on reliability and observability in data engineering practices.

Highest-signal resume keywords

Snowflake AdministrationPython ProgrammingSQL ProficiencyData Ingestion with FivetranInfrastructure as Code with Terraform

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Role-Based Access Model DesignData MaskingPII ControlsIncremental ModelsSCD Table BuildingLayered Warehouse ArchitectureCI Testing StandardsObservability PracticesAI-Assisted DevelopmentGit-Based Development Workflow

Soft Skills

Strong CommunicationMentoringTechnical Direction Setting

Tools & Technologies

FivetranDbt PlatformGitHub ActionsTerraformClaude Code

Industry Keywords

Data EngineeringAccess GovernanceCost ManagementIncident ResponseData Retention Policy

Tech Stack

Tools & technologies

AirflowCloudPythonSQLTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)