Data Engineer III

GHX

Data Engineer III at GHX designing and building data solutions for enterprise reporting and analytics. Collaborating with cross-functional teams to implement optimal data pipelines and infrastructure.

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