Senior Data Engineer, Revenue-Recognition Platform

GI Alliance; Southlake (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

GI Alliance is seeking a Lead Data Engineer to design, deliver, and operate an automated revenue-recognition and accrual data product for a physician-led MSO model. You will build governed data pipelines on Azure and Snowflake, turning practice-management, billing, and GL data into timely outputs.

You will standardize revenue recognition, improve controls and auditability, mentor engineers, and collaborate with Finance, Accounting, and Revenue Cycle to shorten close timelines and reduce manual

Qualifications

• 8+ years of data engineering, analytics engineering, data warehousing, or related experience.
• 3+ years leading complex technical deliveries, technical workstreams, or other engineers.
• Demonstrated experience building production data pipelines and curated data models using Snowflake and Azure.
• Strong SQL and Python skills, including transformation logic, testing, troubleshooting, and performance tuning.
• Experience with modern ELT/ETL, orchestration, CI/CD, Git-based development, automated testing, and production monitoring.
• Experience integrating heterogeneous financial, operational, billing, ERP, practice-management, or RCM systems.
• Ability to translate complex business and accounting concepts into maintainable, testable data logic.
• Strong stakeholder-management and written-communication skills, with the ability to work effectively with Accounting, Finance, auditors, revenue-cycle operators, and engineers.

Responsibilities

• Own the technical roadmap and delivery plan for the Revenue Recognition Data Product, including source onboarding, data quality, reconciliation, controls, and production support.
• Architect and build scalable ingestion, transformation, and orchestration pipelines using Azure services and Snowflake.
• Develop a canonical revenue-accounting data model that standardizes charges, payments, adjustments, contractual allowances, refunds, credit balances, unapplied cash, denials, reserves, accruals, and journal-entry support.
• Translate accounting requirements and revenue-recognition policy into transparent, version-controlled transformation logic, while Accounting retains policy ownership and final close approval.
• Establish automated reconciliations among source systems, subledgers, RCM platforms, data-product outputs, and the general ledger, with documented exception-management workflows.
• Build data controls for completeness, accuracy, timeliness, uniqueness, lineage, change management, and period-close signoff.
• Produce auditable documentation, including source-to-target mappings, business rules, control evidence, lineage, data dictionaries, runbooks, and release records.
• Partner with Finance and Revenue Cycle leaders to define close-calendar milestones, materiality thresholds, approval points, and service-level expectations.
• Lead technical discovery and onboarding for multiple practice groups and acquired entities, balancing enterprise standardization with local-system variation.
• Implement observability and support practices, including monitoring, alerting, incident response, root-cause analysis, and post-close validation.
• Establish reusable engineering standards for SQL, Python, Git-based development, CI/CD, testing, infrastructure-as-code, security, and peer review.
• Mentor engineers and provide technical leadership for future revenue-accounting engineering workstreams.
• Communicate clearly with technical and nontechnical stakeholders, including reconciliation results, delivery status, risks, decisions needed, and realized value.

Skills

Leadership

Communication

SQL

Python

Data modeling

Education

Bachelor's degree in CS/IS/Engineering

Tools

Snowflake

Azure

dbt

Azure Data Factory

Airflow

Terraform

Git CI/CD

Job description

GI Alliance is seeking a Lead Data Engineer to design, deliver, and operate an automated revenue-recognition and accrual data product for a physician-led MSO model. You will build governed data pipelines on Azure and Snowflake, turning practice-management, billing, and GL data into timely outputs.

You will standardize revenue recognition, improve controls and auditability, mentor engineers, and collaborate with Finance, Accounting, and Revenue Cycle to shorten close timelines and reduce manual