Caboodle Engineer Jobs

1 job found

1mo ago

Data Engineer – Healthcare Analytics Platform

Guidehouse Atlanta, GA

Atlanta, GA

1mo ago Closed

$77k - $129k/yr Full time Analytics Azure Data Factory Business Analytics

This position is no longer accepting applications (closed Jul 16, 2026).

Job Description

The Data Engineer will design and build an enterprise Contract Performance Analytics platform for a large healthcare system, emphasizing data architecture, ELT/ETL pipeline development, and the integration of clinical, claims, and operational data into a scalable analytics environment.

Location

Atlanta, GA (onsite)

Compensation

USD 77,000 - 129,000 per year

Responsibilities

Design, develop, and maintain end-to-end ETL/ELT pipelines to ingest, transform, and load healthcare data from diverse structured and unstructured sources
Build pipelines to process data from CMS and payer files (CCLF, paid claims, PUG) and Epic data models and extracts (Caboodle, Clarity)
Develop and refine data models to support analytics, reporting, and operational use cases, including BI and downstream analytics consumption
Transform raw data into standardized, analytics-ready canonical data models and curated data marts
Design lakehouse or medallion architectures, data ingestion patterns, and orchestration frameworks
Implement and maintain CI/CD processes for data engineering workflows, including pipelines and scheduled jobs, using version control and automation tools
Collaborate with database administrators, analysts, and application teams to integrate data sources, design schemas, and support downstream data consumers
Ensure data quality, integrity, and accuracy through validation, monitoring, logging, and alerting
Support data migration, integration, and modernization initiatives, including legacy system upgrades, optimization of large-scale ETL pipelines, query performance, and cloud adoption efforts
Troubleshoot and resolve issues in development and production environments to maintain stable and reliable data pipelines
Document data flows, pipelines, test cases, and technical solutions to support knowledge sharing and compliance requirements
Stay current with emerging tools, technologies, and best practices in data engineering and cloud platforms

Requirements

U.S. Citizenship or a Green Card is required
Bachelor’s degree in Computer Science, Data Analytics, Software Engineering, Information Systems, or related fields
A minimum of FIVE (5) years of experience in data engineering, ETL/ELT development, or data platform engineering in a healthcare setting
Experience working with healthcare data, including claims, clinical, payer, or population health datasets
Experience with healthcare data interoperability standards such as FHIR and HL7
Proficiency in Python and SQL for data engineering and transformation workloads
Hands-on experience designing and building ETL/ELT pipelines and data ingestion frameworks
Experience with modern cloud data platforms or ETL/ELT tools (e.g., Databricks, Azure Data Factory, AWS Glue)
Experience implementing lakehouse or medallion-style architectures for analytics platforms
Strong knowledge of relational database design, data warehouses, and data lakes (e.g., star and snowflake schemas)
Experience working with relational and distributed data systems, including data modeling
Experience in a cloud environment (AWS or Azure) supporting data solutions
Experience with CI/CD practices and version control tools (e.g., Git)
Experience using monitoring and logging tools to support data pipeline reliability
Experience working with PHI and healthcare data privacy and security requirements
Ability to work effectively in an Agile development environment
Strong analytical and troubleshooting skills, with the ability to communicate technical concepts clearly to clients, engineers, and business stakeholders
Ability to work independently in a fast-paced, client-facing environment

Technologies

Python
SQL
Databricks
Azure Data Factory
AWS Glue
Git
Tableau
Power BI
AWS
Azure
Snowflake
Exasol
Epic
Caboodle
Clarity
Athena

Benefits

Medical, prescription, dental, and vision coverage
Paid sick time for individuals and families, plus company holidays
Discretionary variable incentive bonus eligibility
Parental leave and adoption assistance
401(k) retirement plan
Basic and supplemental life insurance
Health Savings Account, dental/vision coverage, and dependent care flexible spending accounts
Short-term and long-term disability coverage
Student loan payoff assistance
Tuition reimbursement and opportunities for personal development and learning
Skills development programs and certifications
Employee referral program
Corporate sponsored events and community outreach
Emergency back-up childcare program
Mobility stipend

Nice to Have

Previous experience with Epic and/or Athena in a healthcare data engineering role
Experience with Exasol or similar analytics platforms
Certifications in AWS, Azure, Databricks, Snowflake, or other data engineering platforms
Experience with data visualization or analytics tools such as Tableau or Power BI
Exposure to microservices architectures or AI/ML enabled data pipelines
Prior consulting experience

View full job page →

Get Caboodle Engineer Jobs alerts

New Caboodle Engineer Jobs, daily.