Principal Data Engineer

Envista Holdings Corporation

. Design, build, and optimize scalable data pipelines for structured and unstructured data .

Posted 9/15/2026full-timeRemote • United StatesLead💰 $159,500 - $194,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing scalable data pipelines, implementing ETL/ELT processes, and maintaining enterprise data architecture across cloud and on-premises environments. Proven ability to lead technical direction, ensure data governance, and collaborate effectively with cross-functional teams.

Highest-signal resume keywords

Data EngineeringETL/ELT ProcessesSQLPythonCloud Solutions (Azure, AWS, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData WarehousingData ModelingIntegration FrameworksPerformance TuningData GovernanceMicroservices ArchitectureEvent-Driven ArchitectureAPI-First DesignBig Data Technologies

Soft Skills

Effective CommunicationCollaborationInfluencing SkillsChange AgilityIntellectual Curiosity

Tools & Technologies

SnowflakeDatabricksAzureAWSGCP

Industry Keywords

GDPR ComplianceHIPAA ComplianceSOX ComplianceData QualityData Lineage

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformMicroservicesPythonSQL

About the role

Key responsibilities & impact

Design, build, and optimize scalable data pipelines for structured and unstructured data
Implement reliable ETL/ELT processes moving data into warehouses and lakes
Develop and maintain enterprise data models, integration frameworks, storage solutions, and architectural patterns across cloud, on-premises, and hybrid environments
Define and maintain data solution architecture and governance frameworks aligned with business objectives
Provide technical leadership through architecture reviews, solution validation, performance tuning, deployment strategy, and complex issue resolution
Establish architecture principles, engineering standards, and best practices across development teams
Implement data quality, lineage, metadata management, backup, accessibility, security, and governance practices
Partner with security and compliance teams on controls and regulatory requirements
Collaborate with business stakeholders, data scientists, analysts, BI teams, and IT partners to translate needs into technical designs
Clean, transform, and organize raw data into usable formats
Create analytical tools and programs supporting analysis, reporting, and decision-making
Evaluate and optimize data systems for performance, reliability, speed, and maintainability
Evaluate emerging technologies and recommend solutions balancing business value, security, compliance, and operational risk
Build cross-functional relationships and communicate complex technical concepts to technical and non-technical audiences
Adapt technical approaches and priorities as technologies and business needs evolve

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field –or- equivalent experience
10+ years of experience in data engineering
Expertise in scalable data solutions using microservices, event-driven architecture, and API-first design
Proficiency with ETL/ELT tools, data warehousing, big data technologies, and database systems
Proficiency in SQL and Python
Strong knowledge of enterprise data architecture, data modeling, integration frameworks, and data governance practices
Experience with Azure, AWS, or GCP and Snowflake or Databricks
Experience designing and supporting solutions across cloud, on-premises, or hybrid environments
Familiarity with GDPR, HIPAA, and SOX compliance standards
Ability to lead architecture reviews and provide technical direction without direct authority
Experience with performance tuning and optimization
Effective written and verbal communication skills for technical and non-technical stakeholders
Demonstrated success delivering secure, scalable, and reliable enterprise data solutions
Experience driving standardization and governance across diverse systems, teams, and global environments
Ability to evaluate tradeoffs across innovation, compliance, security, cost, and sustainability
Strong collaboration and influencing skills across IT, BI, analytics, security, compliance, and business teams
Ability to make sound, timely decisions in ambiguous or evolving technical environments
Intellectual curiosity and a practical approach to emerging technologies
Change agility while maintaining delivery focus

Benefits

Comp & perks

Annual performance bonus
Medical benefits
Dental benefits
Vision benefits
401K match