Software Engineer III - Content Tooling (Data Engineering Focus)

Company: GHX

Location: Location not specified (Remote)

Type: Full-time

Level: mid

Remote: Yes

Posted: 2026-03-09

About this role

GHX is seeking a Software Engineer III to work on our Content Tooling solution with a focus on data engineering and analytics. This individual will be responsible for the creation, implementation, and support of data-intensive software solutions including complex SQL development, ETL pipelines, and analytics infrastructure. Reporting to the Manager, Software Engineering, the Software Engineer III will analyze, design, program, debug, and modify software enhancements and/or new products that process, transform, and deliver content data for business intelligence and operational reporting. This role is responsible for interacting with users to define system requirements and/or necessary modifications in an Agile/Scrum environment.


Responsibilities

  • Design and implement complex SQL queries, stored procedures, and database optimization strategies
  • Develop and maintain ETL (Extract, Transform, Load) pipelines for data ingestion and transformation
  • Design and develop data architecture, data models, and data manipulation structures for content management systems
  • Build and optimize data warehousing solutions using cloud-based platforms
  • Create and maintain analytics reports and dashboards for business stakeholders
  • Perform data quality validation and implement data governance best practices
  • Translate ideas into clear, maintainable code with minimal supervision and perform code reviews
  • Coordinate with cross-functional teams including product, analytics, and offshore development teams in an Agile/Scrum environment

Knowledge and Skills

  • Proficient with multiple technologies including SQL databases, ETL tools, cloud data platforms, and data visualization tools
  • Expert-level SQL development skills with deep understanding of query optimization and performance tuning
  • Strong understanding of ETL design patterns, data pipeline architectures, and data orchestration
  • Identifies, implements, and applies best practices for data engineering; is the “go t...

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