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GHX

Data Engineer III

GHX

. Design and build ETL/ELT pipelines and dimensional data models using dbt, Airflow, Python, PySpark, and AWS services (S3, Glue, Lambda) .

Posted 4/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $98,000 - $130,500 per yearWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSCloudETLPySparkPythonSQLTableau

About the role

Key responsibilities & impact
  • Design and build ETL/ELT pipelines and dimensional data models using dbt, Airflow, Python, PySpark, and AWS services (S3, Glue, Lambda)
  • Create executive dashboards and perform complex SQL analysis to drive strategic decisions (Tableau, Sigma, SAP BO)
  • Optimize SQL queries, data structures, and warehouse resources for performance and cost efficiency at scale (Snowflake, Redshift)
  • Partner with stakeholders to translate business requirements into self-service analytics capabilities
  • Implement infrastructure-as-code (CloudFormation/CDK) and contribute to CI/CD automation
  • Troubleshoot production issues across data pipelines, queries, and APIs; perform root cause analysis
  • Provide technical mentorship, establish development standards, and drive data engineering best practices
  • Document solutions and communicate designs to cross-functional teams in Confluence/JIRA
  • Apply data governance, security, and monitoring/alerting best practices
  • Leverage AI-assisted development tools (GitHub Copilot, Claude, etc.) to increase productivity and accelerate delivery

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related quantitative field
  • 6+ years of data engineering experience building BI applications and data platforms
  • 5+ years of ETL/ELT development in cloud data warehouses (AWS, Snowflake, Redshift, or similar)
  • 4+ years creating dashboards and visualizations in enterprise BI tools (Tableau, Sigma, SAP BO, Power BI, or Looker)
  • Proven track record delivering production data solutions in Agile environments (Scrum/Kanban)
  • Expert-level SQL and Python proficiency
  • Proven experience designing dimensional data models (star/snowflake schema) optimized for analytics
  • Demonstrated SQL optimization and performance tuning in large-scale production environments
  • Strong business acumen with ability to translate technical solutions into business value
  • Excellent communication skills for presenting to executive and non-technical audiences
  • Deep analytical and troubleshooting skills with root cause analysis capabilities
  • Must be located in the United States (remote position)

Benefits

Comp & perks
  • health, vision, and dental insurance
  • accident and life insurance
  • 401k matching
  • paid-time off
  • education reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
ETLELTPythonPySparkSQLdimensional data modelsdata governanceinfrastructure-as-codeCI/CD automationdata optimization
Soft Skills
technical mentorshipcommunication skillsanalytical skillstroubleshooting skillsbusiness acumenstakeholder collaborationproblem-solvingpresentation skillscross-functional teamworkroot cause analysis
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Data ScienceBachelor's degree in MathematicsBachelor's degree in Statistics