Data Platform Lead

GuidehouseTysons, VA
$149,000 - $248,000Remote

About The Position

Guidehouse is seeking a Data Engineer to support the design, development, and deployment of data pipelines and data services across a Revenue Cycle Management (RCM) platform. This role focuses on building scalable, production-grade data systems that power AI-enabled workflows across claims, denials, AR management, coding, and performance analytics. The role includes designing and managing cloud-native data platforms, data lakes/fabrics, and pipeline orchestration, supporting both analytics and AI use cases.

Requirements

  • Minimum of SEVEN (7)+ years of overall work experience
  • Experience building and deploying data pipelines and data platforms in production
  • Strong SQL and Python skills
  • Experience with cloud data platforms (Azure, AWS, or GCP)
  • Experience with ETL/ELT and large-scale data processing
  • Understanding of data modeling, data quality, and governance
  • Experience integrating enterprise data sources and APIs
  • SQL, Python, and data engineering frameworks
  • Data pipelines (ETL/ELT) and large-scale data processing
  • Cloud data platforms (Azure Data Factory, AWS, GCP)
  • Data lake / data fabric architectures
  • Structured and unstructured data integration
  • API integration and data ingestion patterns
  • Data quality, governance, and lineage
  • CI/CD and DevOps for data pipelines
  • Distributed processing (Spark or equivalent)
  • Experience delivering production data systems at scale

Nice To Haves

  • Experience in healthcare RCM data (claims, billing, AR)
  • Experience supporting AI/ML or analytics platforms
  • Familiarity with data lakehouse architectures
  • Experience with orchestration tools (Airflow, ADF, etc.)
  • Experience working in regulated environments

Responsibilities

  • Design and build scalable data pipelines for RCM use cases
  • Develop ingestion frameworks for structured and unstructured data (claims, remits, account notes)
  • Implement ETL/ELT pipelines and data transformation logic
  • Build and maintain enterprise data lake/data fabric architectures
  • Integrate data across enterprise systems and APIs
  • Ensure data quality, lineage, and governance
  • Support data services for AI/ML and analytics workflows
  • Deploy and manage data workloads in cloud environments using modern DevOps practices

Benefits

  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Position may be eligible for a discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Basic Life & Supplemental Life
  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Student Loan PayDown
  • Tuition Reimbursement, Personal Development & Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
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