Become a part of our caring community and help us put health first
 

We’re seeking a Senior Data Engineer with a strong background in cloud data architecture and hands-on experience working with Azure AI and Speech Services. The ideal candidate will be responsible for designing scalable data pipelines that ingest, transcribe, and transform audio recordings into structured, analytics-ready formats. You will get to play a key role in developing and deploying innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. You’ll collaborate with data scientists, AI engineers, and product teams to build an end-to-end data solution— from speech-to-text transcription and natural language processing (NLP) pipelines to data modeling and visualization.

• Architect, build, and maintain ETL/ELT pipelines that process and transform large volumes of structured and unstructured data.

• Develop solutions that ingest and transcribe audio files using Azure Speech Services, ensuring accurate transcription, speaker separation, and metadata tagging.

• Convert transcripts into structured formats suitable for search, analytics, and ML model training (e.g., JSON, Parquet, or database schemas).

• Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.

• Assist our data science team in the development and deployment of traditional machine learning models.

• Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.

• Design and manage data lake solutions pertaining to the use case implementations (Data Lake Storage, Databricks Delta).

• Automate data workflows and deployments using CI/CD pipelines (Github / Azure DevOps).

Use your skills to make an impact
 

Required Qualifications:

• Bachelor's Degree in engineering or related field (e.g., Computer Science, Software Engineering or a related field) with a minimum of 5 years of professional experience; OR

• Master's Degree in a similar field with at least 5 years of relevant experience.

• 5+ years of experience as a Data Engineer or similar role.

• 5+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy).

• Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.

• Experience working in audio transcription using any of the available services, such as Azure speech services, AWS Transcribe, or Google Speech-to-Text.

• 3+ years of experience with containerization (e.g., Docker, Kubernetes).

• 3+ years of experience with CI/CD tools, pipelines, and version control systems (e.g., Azure DevOps, Github)

• 3+ years of experience with PySpark.

• 2+ years of experience working on any cloud platform. (Azure / GCP / AWS)

• Excellent problem-solving skills and ability to work in a collaborative environment.

• Experience working with any nosql DBs. (MongoDB preferred)

• Experience working with big data and data streaming technologies (e.g., Hadoop, Spark, kafka).

WAH requirements:

• Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.

• A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.  

• Satellite and Wireless Internet service is NOT allowed for this role.

• 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

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

 

$117,600 - $161,700 per year

 

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) 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, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 01-26-2026

About us
 

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

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Equal Opportunity 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 information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.