Data Platform Lead

Guidehouse; Washington (District of Columbia); On-site; USD 149,000 - 248,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

401(k) Retirement Plan

Parental Leave and Adoption Assistance

Tuition Reimbursement

Job summary

Guidehouse is seeking a Data Engineer to support the design, development, and deployment of data pipelines across an RCM platform, building scalable production-grade data systems powering AI-enabled workflows in claims, denials, AR management, coding, and analytics.

You will design cloud-native data platforms, data lakes/fabrics, and pipeline orchestration, integrating data across enterprise systems while ensuring quality, lineage, and governance; you will work in a DevOps environment deploying

Qualifications

• 7+ years of data engineering experience in production.
• Strong SQL and Python skills.
• Experience with cloud data platforms (Azure/AWS/GCP).
• ETL/ELT and large-scale data processing expertise.
• Knowledge of data modeling, data quality, governance, and lineage.
• Experience with API integration and data ingestion patterns.
• CI/CD and DevOps practices for data pipelines.
• Familiarity with distributed processing (Spark).

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 DevOps.

Skills

SQL

Python

Data pipelines

ETL/ELT

Data modeling

Data quality

Governance

CI/CD for data

DevOps for data

Distributed processing

Tools

Azure Data Factory

AWS

GCP

Airflow

Spark

Job description

Job Family:Data Engineering & Architecture ConsultingTravel Required:Up to 25%Clearance Required:NoneGuidehouse 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 practicesWhat You Will Need:Minimum of SEVEN (7)+ years of overall work experienceExperience 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 governanceExperience integrating enterprise data sources and APIsSQL, Python, and data engineering frameworksData pipelines (ETL/ELT) and large-scale data processingCloud data platforms (Azure Data Factory, AWS, GCP)Data lake / data fabric architecturesStructured and unstructured data integrationAPI integration and data ingestion patternsData quality, governance, and lineageCI/CD and DevOps for data pipelinesDistributed processing (Spark or equivalent)Experience delivering production data systems at scaleWhat 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 InsurancePersonal and Family Sick Time & Company Paid HolidaysPosition may be eligible for a discretionary variable incentive bonusParental Leave and Adoption Assistance401(k) Retirement PlanBasic Life & Supplemental LifeHealth Savings Account, Dental/Vision & Dependent Care Flexible Spending AccountsShort-Term & Long-Term DisabilityStudent Loan PayDownTuition Reimbursement, Personal Development & Learning OpportunitiesSkills Development & CertificationsEmployee Referral ProgramCorporate Sponsored Events & Community OutreachEmergency Back-Up Childcare ProgramMobility StipendAbout GuidehouseGuidehouse 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.