Guidehouse

Data Platform Lead

Guidehouse$149K — $248K *
US-AnywhereRemote in United States
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of overall work experience in data engineering
  • Proven ability to build and deploy production-grade data pipelines and platforms
  • Strong proficiency in SQL and Python
  • Experience with major cloud platforms such as Azure, AWS, or GCP
  • Knowledge of data modeling, quality, and governance practices
  • Experience with ETL/ELT processes and large-scale data processing
  • Familiarity with data lake and data fabric architectures

Responsibilities

  • Design and build scalable data pipelines for Revenue Cycle Management (RCM) use cases
  • Develop ingestion frameworks for structured and unstructured data
  • Implement ETL/ELT processes 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
  • Deploy and manage data workloads in cloud environments with DevOps practices

Benefits

  • Medical, Prescription, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Potential for discretionary variable incentive bonus
  • Parental Leave and Adoption Assistance
  • 401(k) Retirement Plan
  • Life Insurance options
  • Health Savings and Flexible Spending Accounts
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement and Learning Opportunities
  • Skills Development & Certifications
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Emergency Back-Up Childcare Program
  • Mobility Stipend
Full 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 a management consulting firm headquartered in Washington, D.C. The firm provides consulting services to clients in the public and commercial sectors, with a focus on energy, financial services, healthcare, national security, and aerospace and defense. Guidehouse was founded in 2018 as a spin-off from PwC. The firm has over 7,000 employees and operates in more than 50 locations worldwide.
Learn more about Guidehouse
Size
8,000 employees
Industry
Founded
2018

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