Senior Apptio & FinOps Data Engineer

Ochsner Clinic Foundation; New Orleans (LA); On-site; USD 120,000 - 180,000; Full time

Job summary

Ochsner Health, a renowned healthcare system in New Orleans, seeks a Technology Business Engineer to administer the Apptio platform, manage data integrations, and maintain cost models for reliable decision support.

The role collaborates with FinOps, Finance, and technology stakeholders to ensure traceable, decision-ready technology cost information and data quality across cloud and on‑prem sources.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 10+ years data engineering or related technical experience.
• Experience with cloud data platforms (Azure, AWS) and modern data platforms (Snowflake, Databricks).
• Knowledge of data governance, access controls, and TBM concepts.
• Apptio administration and TBM credentials preferred.

Responsibilities

• Administer Apptio environments, configuration, user access, roles, permissions, schedules, and settings.
• Operate and monitor recurring data ingestion, transformation, validation, and publishing processes.
• Maintain cost models, allocation rules, mappings, hierarchies, and business logic.
• Reconcile source totals with Apptio inputs and document exceptions with evidence.
• Build and maintain dashboards, reports, and distribution processes.

Skills

Data engineering

FinOps

ETL/ELT design

Analytics & dashboards

Stakeholder management

Cloud data platforms

Data governance

Problem solving

Education

Bachelor’s degree in Information Systems, CS, or related

Master’s degree

Tools

Azure

AWS

Snowflake

Databricks

Tableau

Power BI

Sigma

Apptio

Job description

Ochsner Health, a renowned healthcare system in New Orleans, seeks a Technology Business Engineer to administer the Apptio platform, manage data integrations, and maintain cost models for reliable decision support.

The role collaborates with FinOps, Finance, and technology stakeholders to ensure traceable, decision-ready technology cost information and data quality across cloud and on‑prem sources.