Data Platform Lead

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

Benefits offered by this job

Medical Insurance

Holidays

Discretionary bonus

Parental Leave

401(k)

Life Insurance

Health Savings Account

Disability Insurance

Tuition Reimbursement

Learning Opportunities

Skills Development

Employee Referral Program

Mobility Stipend

Job summary

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

You will design cloud-native data platforms, data lakes, and orchestration, while collaborating across enterprise systems to ensure data quality and governance.

Qualifications

• 7+ years of data engineering experience.

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 transformations.
• Build and maintain 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 DevOps practices.

Skills

SQL

Python

Cloud data platforms

ETL/ELT

Data pipelines

Data modeling

Data quality & governance

APIs integration

CI/CD & DevOps

Distributed processing

Tools

Azure Data Factory

Airflow

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.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [e-mail]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [e-mail]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.