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# Data Platform Lead

- **Company:** Guidehouse Inc.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $149,000.0 - $248,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Continuous Integration, Data as a Services, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Systems, DevOps, Distributed Computing Environment, Python (Programming Language), Operational Databases, Cloud Services, Standard Sql, SQL Databases, Unstructured Data, Workflow Management Systems, Enterprise Data Management, Google Cloud, Cloud Platform System, Data Ingestion, Azure Data Factory, Apache Spark, Build Management, Microsoft Fabric, Data Lakes, Data Management, Data Lakehouse, Data Pipelines
- **Published:** July 26, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=095de7d3cf9ec63a

## About the Role

* 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.

## Description

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


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