Senior Data Engineer

Senior Data Engineer

Employment Type: Full-time

Position Overview

Become a part of our caring community and help us put health first. The Senior Data Engineer ingests data from internal and external sources utilizing cloud-native platforms and software development best practices and patterns. Develops software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions that enable Humana to better serve our members. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.

The senior data engineer in this role will join a team that leverages predictive modeling and analytics to support Humana’s HQRI (Healthcare Quality & Reporting Improvement) department. The team focuses on risk adjustment modeling for our Medicare and Medicaid business. The HQRI department is a high-performing organization with a key role within Humana. The senior data engineer in this role will partner with data scientists and actuaries to ensure our end-to-end modeling and reporting processes are robust and efficient. The role will also include building new processes and tools as the business needs evolve. The engineer will benefit from a network of software engineers and application developers on peer teams within the department.

Responsibilities

• Ingest data from internal and external sources utilizing cloud-native platforms and software development best practices and patterns.
• Develop software tools that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data into insights and actions.
• Partner with data scientists and actuaries to ensure end-to-end modeling and reporting processes are robust and efficient.
• Build new processes and tools as business needs evolve.
• Guide the team in best coding and optimization practices within our current tech stack (Azure Synapse Analytics (ASA) and Databricks).
• Be a thought leader as we adopt new technologies.

Requirements

• 3+ years of demonstrated data engineering experience.
• Procedural language for automation – Python preferred.
• Intermediate to Advanced SQL.
• Experience working in the Azure data ecosystem (Databricks/ASA/ADLS).
• Ability to develop modular, reusable code and tools.
• Capable of making decisions regarding own work methods, occasionally in ambiguous situations.
• Must understand the concepts of normalized relational data structures.
• Must be able to write and maintain modular code for automation, in accordance with best practices.
• Must develop an understanding of the team’s underlying technology stack.

Objectives

• Within six months: Take ownership of at least 2 major processes.
• Within 2 years: Lead major projects to build new processes and become a resident expert on coding and optimization best practices relevant to the team.

Desired Qualifications

• Bachelor's or higher education.
• Experience in health care, insurance, or risk adjustment.

Company Information

Humana is committed to putting health first.

Location & Additional Information

• Location Type: Remote
• Work Location: This position is remote and work can be performed anywhere in the US; however, preference is for candidates to be located within reasonable commutable distance to Louisville, Kentucky.

Internet Service Requirements for Remote Work:

• Minimum download speed of 25 Mbps and upload speed of 10 Mbps.
• Wireless, wired cable, or DSL connection is suggested.
• Satellite, cellular, and microwave connections may be used only if approved by leadership.
• Employees residing in California, Illinois, Montana, or South Dakota will receive a bi-weekly payment for their internet expense.

Work Environment:

• Humana will provide appropriate telephone equipment.
• Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Hiring Process:

• This opportunity will utilize HireVue, an interviewing technology, to enhance the hiring and decision-making process.