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JobGet

Principal Data Engineer

JobGet

Principal Data Engineer leading data architecture and engineering decisions for JobGet's data platform. Ensuring efficient data flows and supporting AI-driven products for millions of job seekers.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive expertise in data engineering, including building production-grade data pipelines and architecting data infrastructure that supports machine learning and AI systems. Proficient in establishing data governance standards and driving the adoption of modern data stacks while ensuring platform reliability.

Highest-signal resume keywords
Data Engineering ExperienceProduction-Grade Experience with SnowflakeExpert-Level Proficiency in PythonReal-Time Streaming TechnologiesDataOps Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ArchitectureData ModelingMachine LearningData IntegrationData ValidationPythonSQLAWSCI/CD for Data PipelinesKSQL
Soft Skills
Exceptional CommunicationStakeholder ManagementMentoring
Tools & Technologies
SnowflakeDbtApache Flink
Industry Keywords
Data GovernanceDataOpsStreaming Data InfrastructureModern Data StackTechnical Standards

Tech Stack

Tools & technologies
ApacheAWSPythonSQL

About the role

Key responsibilities & impact
  • Lead the technical direction for how data flows, scales, and powers decisions at JobGet
  • Own the data architecture behind the platform
  • Drive architectural decisions
  • Champion modern data stack adoption
  • Ensure platform reliability
  • Build production-grade pipelines
  • Establish data modeling standards
  • Solve complex data integration and performance challenges
  • Architect and evolve streaming data infrastructure
  • Enable machine learning at scale
  • Establish data governance standards
  • Implement data validation frameworks
  • Raise the technical bar through mentoring

Requirements

What you’ll need
  • 10+ years of data engineering experience
  • 3–5 years operating at a principal or staff IC level in a start-up environment
  • Production-grade experience with Snowflake and dbt
  • Experience with real-time streaming technologies such as KSQL or Apache Flink is strongly preferred
  • Hands-on AWS experience at scale
  • DataOps experience: familiarity with CI/CD for data pipelines
  • Significant, demonstrated AI usage in your day-to-day engineering work
  • Expert-level proficiency in Python and SQL
  • Strong data modeling background
  • Experience building data infrastructure that supports ML/AI systems
  • Demonstrated track record of setting technical standards across teams
  • Strong grasp of data governance fundamentals
  • Exceptional communication and stakeholder management skills

Benefits

Comp & perks
  • Purpose-driven organization
  • Flexible time off
  • Remote-first
  • Flexible work hours - our employees are in multiple time zones
  • Medical & dental plans
  • Parental leave
  • Employee stock options