Data Platform Lead

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.

What You Will Do:

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

• 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

What Would Be Nice To Have:

• 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.

Pulled from the full job description

• Referral program
• Tuition reimbursement
• Parental leave
• 401(k)
• Health insurance
• Vision insurance
• Health savings account, The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• 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

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.