Senior BI Engineer: Data Quality & Automation; Remote
Reno, Washoe County, Nevada, 89550, USA
Listed on 2026-07-21
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IT/Tech
Data Engineering, Data Analyst
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The Senior Business Intelligence Engineer develops and optimizes business processes to ensure the successful submission and reconciliation of encounter data for Medicaid and Medicare programs. You will ensure that all submissions exceed compliance standards through rigorous data analysis, quality assurance, and the development of tools to enhance encounter acceptance rates. The Senior Business Intelligence Engineer finds opportunities for long‑term improvement of submission processes, collaborates with partners to integrate new and improved workflows, and provides solutions to complex data and process challenges.
You will lead by example and partner with peers to enhance data visibility, quality, and accuracy.
The Senior Data Management position is a member of the Encounter Submission organization ensuring the integrity of organizational data. You will analyze complex data challenges, assess situations critically, and use available resources to research and analyze data and dashboards to identify areas of process improvement and limitations. This role requires a collaborative spirit and strong analytical experience improving healthcare data quality and compliance.
This position reports to the Associate Director, Business Intelligence.
- Develop and maintain a variety of processes and solutions, including Python scripts, SQL queries, Databricks notebooks, Azure Dev Ops pipelines, Power BI dashboards, and process automations.
- Experience working independently while managing multiple priorities and deadlines that require exceptional attention to detail.
- Support partners by addressing data issues, performing root cause analysis, and proposing applicable resolutions.
- Present clear, applicable insights to both internal and external partners.
- Improve data processes and advocate for innovation in data management practices.
Required Qualifications
- Bachelor's degree in a technical field
- 5+ years of Python experience in data analysis, data quality, and analytics
- 2+ years of experience using applied statistics and machine learning techniques
- 2+ years of experience building dashboards for reporting purposes
- Master's degree in a technical field
- Experience in the healthcare industry
- Experience using version control tools such as Git or similar platforms
Work at Home Requirements:
To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self‑provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: at minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs.
Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel:
While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly
Hours:
40
Pay Range: $78,400 - $107,800 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of BenefitsHumana offers competitive benefits that support whole‑person well‑being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short‑term and long‑term disability, life insurance and many other opportunities.
EqualOpportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic…
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