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Data Engineer

Job

Insight Global

Austin, TX (In Person)

Full-Time

Posted 6 days ago (Updated 2 days ago) • Actively hiring

Expires 7/3/2026

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Job Description

Data Engineer at Insight Global Data Engineer at Insight Global in Austin, Texas Posted in 3 days ago.
Type:
full-time
Job Description:
JOB DESCRIPTION
The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function. This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment. In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset.
Responsibilities:
  • Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.
  • Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.
  • Partner with operations, product, and engineering stakeholders to translate business workflows into reliable, automated data solutions.
  • Establish and follow analytics engineering standards, including modeling conventions, testing practices, and documentation.
  • Participate in technical design discussions, architecture reviews, and code reviews to ensure data quality and long-term scalability.
  • Troubleshoot and resolve complex data issues across ingestion, transformation, and reporting layers.
  • Optimize data tables and processing workloads for performance, scalability, and cost efficiency.
  • Support datasets enabling account prioritization, denial analysis, aging performance, and workflow automation.
REQUIRED SKILLS AND EXPERIENCE
  • Experience with healthcare RCM data (claims, denials, payments, AR aging).
  • Familiarity with AR Follow-Up workflows or denial management processes.
  • Experience supporting automation, workflow optimization, or rule-based systems.
  • Exposure to ML feature engineering or AI-enabled analytics.
  • Experience in regulated or compliance-driven environments.
NICE TO HAVE SKILLS AND EXPERIENCE
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • 5+ years of experience in analytics engineering, data engineering, or advanced BI roles.
  • Strong hands-on experience with dbt or similar ELT frameworks.
  • Experience with distributed data platforms such as Databricks, Spark, or equivalent.
  • Advanced SQL skills and experience working with large-scale data transformations.
  • Solid understanding of analytics engineering best practices, including automated testing, CI/CD, and data governance.
  • Strong communication skills and ability to work cross-functionally.
  • Interest in supporting AI, ML, or intelligent automation initiatives.