[Hiring] Data Engineer III @GHX

Role Description

The Data Engineer III (Enterprise BI) designs, builds, and supports data solutions that power enterprise reporting and analytics. You'll bridge the gap between data infrastructure and business insights, partnering with Product, Engineering, Analytics, and business stakeholders to deliver reliable pipelines, optimize data models, and translate complex data into actionable insights. This role requires expertise in BI tools (Tableau, Sigma Computing, SAP Business Objects), SQL, Python, and cloud data platforms (AWS/Snowflake) within an Agile delivery environment.

Core Responsibilities

• 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

Qualifications

• 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)

Preferred Qualifications

• Advanced Snowflake experience (streams, tasks, dynamic tables, Snowpipe, time travel)
• Hands-on experience with dbt for analytics engineering and data quality testing
• Apache Airflow (or Prefect, Dagster) for workflow orchestration
• Deep AWS experience (Glue, Lambda, Step Functions, SNS/SQS, API Gateway, EventBridge)
• PySpark for distributed data processing and large-scale transformations
• Streaming data platforms (Kafka, AWS Kinesis, Spark Streaming) for real-time analytics
• Alteryx Cloud Designer (Trifacta)
• Infrastructure-as-code using CloudFormation or CDK
• Modern Angular (17+) for data-driven web applications; AngularJS modernization experience a plus
• Version control (Git), CI/CD workflows (GitHub Actions, GitLab CI), and containerization (Docker)
• Python data science libraries (pandas, numpy, scipy) and statistical analysis
• AI-assisted development tools (Claude Code, GitHub Copilot, OpenAI Codex) and LLM integration
• Data governance frameworks and cataloging tools (Alation, Collibra) with metadata management experience
• Data quality and observability tools (Great Expectations, dbt tests, Soda, Monte Carlo, Datadog)
• Modern BI semantic layers (Cube, Metriql, dbt Semantic Layer) or headless BI architectures

Key Differentiators

• Proven business impact through data solutions – quantified examples of cost savings, revenue growth, or efficiency improvements
• Data warehouse/lakehouse architecture experience with demonstrated enterprise-scale optimization
• Executive communication skills – ability to present complex insights to C-level stakeholders and influence strategy
• Analytics platform development serving both technical and non-technical users with self-service capabilities
• Modern Angular development for BI-facing applications and data visualization interfaces
• Machine learning, LLM, or AI integration experience in analytics or intelligent data systems
• Enterprise architecture expertise in large-scale, multi-system data integrations
• Domain expertise in data-intensive industries (financial services, healthcare, retail, manufacturing)
• Open-source contributions to data engineering, analytics, or database projects

Salary and Benefits

Estimated Salary: $98,000 - $130,500. The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. The base salary is one component of GHX’s total compensation package for employees. Other rewards and benefits include:

• Health, vision, and dental insurance
• Accident and life insurance
• 401k matching
• Paid-time off
• Education reimbursement

Company Description

Global Healthcare Exchange (GHX) enables better patient care and billions in savings for the healthcare community by maximizing automation, efficiency, and accuracy of business processes. GHX is a healthcare business and data automation company, empowering healthcare organizations to enable better patient care and maximize industry savings using our world-class cloud-based supply chain technology exchange platform, solutions, analytics, and services.

We bring together healthcare providers and manufacturers and distributors in North America and Europe - who rely on smart, secure healthcare-focused technology and comprehensive data to automate their business processes and make more informed decisions.

It is our passion and vision for a more operationally efficient healthcare supply chain, helping organizations reduce - not shift - the cost of doing business, paving the way to delivering patient care more effectively. Together we take more than a billion dollars out of the cost of delivering healthcare every year. GHX is privately owned, operates in the United States, Canada, and Europe, and employs more than 1000 people worldwide. Our corporate headquarters is in Colorado, with additional offices in Europe.