Data Platform Lead

Guidehouse; United States; Remote; USD 149,000 - 248,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Holidays

Sick Time

Parental Leave

Tuition Reimbursement

Learning Opportunities

Mobility Stipend

Referral Program

Job summary

Guidehouse is seeking a Data Engineer to design, develop, and deploy data pipelines and data services across an RCM platform. You will build scalable, production-grade data systems powering AI-enabled workflows for claims, denials, AR, coding, and analytics.

This role includes designing cloud-native data platforms, data lakes, and pipeline orchestration, supporting analytics and AI use cases. 7+ years of experience and strong SQL/Python are required.

Qualifications

• Minimum of seven (7)+ years of overall work experience.
• Strong SQL and Python skills; experience with cloud data platforms (Azure, AWS, or GCP).
• Experience with ETL/ELT and large-scale data processing.

Responsibilities

• Design and build scalable data pipelines for RCM use cases.
• Develop ingestion frameworks for structured and unstructured data.
• 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

Skills

SQL

Python

Cloud Platforms

ETL/ELT

Data Governance

APIs

CI/CD

Spark

Tools

Azure Data Factory

AWS

GCP

Job description

Job Family:

Data Engineering & Architecture Consulting

Travel Required:

Up to 25%

Clearance Required:

None

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

What You Will Need:

• 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.

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.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.