Senior Data Engineer

Eve

. Own ingestion through Fivetran, third-party connectors, and custom extraction .

Posted 9/15/2026full-timeRemote • California • United StatesSenior💰 $185,000 - $245,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering with a focus on production systems, ingestion, orchestration, and cloud infrastructure. Proficient in managing Snowflake environments, implementing reliability practices, and utilizing AI-assisted development tools.

Highest-signal resume keywords

Data EngineeringPythonSQLSnowflake AdministrationDbt Platform

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionOrchestrationIncremental ModelsSchema Change DetectionCost ManagementAlertingIncident ResponseSCD TablesTerraformAI-Assisted Development

Soft Skills

Clear CommunicationProblem Solving

Tools & Technologies

FivetranGitHub ActionsDbtClaude CodeMCP Servers

Industry Keywords

B2B SaaSRegulated Data EnvironmentsStreaming IngestionUnstructured Data

Tech Stack

Tools & technologies

AirflowCloudPythonSQLTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

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)