Principal Data Engineer

IDEXX

. Own and lead the technical strategy and architecture for the DI&T analytics data platform and semantic layer .

Posted 10/15/2026full-timeRemote • Maine • United StatesLead💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics architecture, with a strong focus on data modeling, pipeline development, and governance. Proven ability to lead technical strategy, mentor teams, and communicate complex concepts effectively to diverse audiences.

Highest-signal resume keywords

Data EngineeringAnalytics ArchitectureSQL ExpertiseSnowflake ExperienceTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingProduction Data PipelinesDimensional ModelingDbtCI/CDPythonData GovernanceError HandlingMonitoringOrchestration

Soft Skills

Problem-SolvingCommunicationMentorshipInfluencingIndependent Work

Tools & Technologies

SnowflakeDbtGitAI-Assisted Development ToolsData Lakes

Certifications & Qualifications

Cloud CertificationsData Engineering Certifications

Industry Keywords

Data ArchitectureAnalytics Data PlatformData IntegrationBusiness LogicData Quality

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Own and lead the technical strategy and architecture for the DI&T analytics data platform and semantic layer
Design and develop scalable data models and curated datasets
Define and lead the analytics semantic layer, including business logic, metrics, dimensions, relationships, and definitions
Lead reliable production data pipelines and transformation processes
Integrate data from operational systems, warehouses, integration hubs, data lakes, and enterprise sources
Translate business and analytical requirements into scalable, reusable data solutions
Solve complex cross-system data problems and develop innovative solutions
Establish and apply data modeling, engineering, and governance standards
Implement validation, testing, monitoring, and error handling to ensure data quality and reliability
Provide technical leadership and mentorship to analysts, engineers, and technical team members
Serve as subject matter expert for data modeling, dbt, Snowflake, SQL, and analytics engineering
Monitor pipeline and model performance and implement sustainable improvements
Partner with technology and engineering teams to evolve data architecture
Identify opportunities to centralize data, automate workflows, improve integration, and strengthen the data foundation
Set technical priorities aligned with business objectives
Communicate technical concepts, risks, trade-offs, and recommendations to technical and non-technical audiences

Requirements

What you’ll need

Bachelor’s degree in computer science, data engineering, information systems, or a related field; equivalent combination of education and significant relevant experience will be considered
7+ years in data engineering, analytics, data architecture, or a related technical discipline
Technical leadership of production data platforms or enterprise-scale analytics environments
Deep dbt or equivalent experience
Deep Snowflake or equivalent analytical platform experience
Advanced experience with dimensional, wide-table, and hybrid modeling approaches
Expert SQL capabilities
Production data engineering experience, including pipelines, orchestration, monitoring, error handling, and operational support
Strong Git and CI/CD experience
Python or other scripting language experience preferred
Experience applying AI-assisted development tools preferred
Ability to evaluate technical trade-offs and make architecture decisions
Ability to influence architecture and system design across organizational boundaries
Ability to translate complex technical concepts for technical and non-technical stakeholders
Strong understanding of data governance, data lineage, business definitions, naming conventions, metadata, and context engineering
Ability to work independently and determine priorities with limited direction
Strong problem-solving skills for complex, ambiguous, and novel technical problems
Cloud certifications and data engineering certifications preferred, not required

Benefits

Comp & perks

Opportunity for annual cash bonus
Health / Dental / Vision Benefits Day-One
5% matching 401k
Financial support
Pet insurance
Mental health resources
Volunteer paid days off
Employee stock program
Foundation donation matching
Competitive compensation and incentives
Positive and respectful work culture
Learning and discovery opportunities