Senior Data Engineer

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. Build reliable, well-governed data and knowledge infrastructure for human analysts and AI agents .

Posted 10/9/2026full-timeRemote • United StatesSenior💰 $200,000 - $400,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data infrastructure, including proficiency in SQL and experience with Snowflake, dbt, and data governance. Capable of managing data pipelines and collaborating with stakeholders to drive data-enabled decision-making.

Highest-signal resume keywords

Senior-Level Data Engineering ExperienceSQL ProficiencySnowflake ExperienceArchitecture Design ExperienceTechnical Breadth Across Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData EngineeringSemantic ModelingGovernancePipelinesData TransformationVersioned ArtifactsAgentic WorkflowsMetric Discrepancy InvestigationRoot-Cause Analysis

Soft Skills

First-Principles Problem SolvingCustomer-Centric ApproachOwnershipSound Judgement

Tools & Technologies

SnowflakeDbtAirbyteHevoHexMetabaseMongoDBPostgres

Industry Keywords

Data AvailabilityData FreshnessPII/PHI ProvisioningLeast-Privilege Access ControlsAI-Facing Knowledge Infrastructure

Tech Stack

Tools & technologies

MongoDBPostgresSQL

About the role

Key responsibilities & impact

Build reliable, well-governed data and knowledge infrastructure for human analysts and AI agents
Create governed, versioned artifacts such as dbt semantic models, Snowflake views, and structured knowledge files
Develop agentic workflows, peer-reviewed artifact creation processes, and structured knowledge trees
Maintain pipelines that extract, load, and transform source data into the warehouse
Own data availability and freshness foundations
Manage Snowflake roles, PII/PHI provisioning, and least-privilege access controls with the Security team
Support engineering teams building, deploying, and monitoring production ML models
Investigate source systems, metric discrepancies, and slow pipelines
Partner with stakeholders to understand data-enabled decisions and prioritize root-cause solutions
Participate in SQL and architecture-design technical interviews

Requirements

What you’ll need

Senior-level data engineering experience (specific minimum years not stated)
First-principles problem solving
Customer-centric approach
Ownership of infrastructure and sound judgement
Technical breadth across pipelines, semantic modeling, governance, and AI-facing knowledge infrastructure
SQL proficiency
Architecture design experience
Experience with Snowflake, dbt, Airbyte, Hevo, Hex, Metabase, MongoDB, and Postgres is relevant to the data stack
Ability to work Pacific Time Zone hours
Visa sponsorship requirements must be disclosed
Location in the U.S., specifically Remote US (PST./MST.)

Benefits

Comp & perks

Equity offered
Remote-first work environment
Profitable company since 2022