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Are you a Python engineer with a data engineering background? Do you want to build the data platform of the future? Do you want to innovate and engineer products that are used by thousands of IT and business associates?
Do you have an entrepreneurial mindset? Do you love to code (a lot of code)? Does an unsolved problem keep you awake at night?
Then we need you!
You have the unique opportunity to be a part of data platforms team that is responsible for all cloud data infrastructure here at Humana. You will work on some of the latest data platforms such as Databricks Snowflake, Prefect, and more. Directly working with key stakeholders to define platform road map and determine solution requirements. You will constantly work on exploring new technologies innovating and enabling new capabilities for our IT and Business associates. Join us to transform the industry and make a major impact on the future of data engineering.

The Senior Cloud Solutions Engineer will design, develop, maintain, and support core platform components including but not limited to APIs, Data workflow orchestrations, automation scripts and utilities. Will work with other data platform SMEs (such as Databricks, Snowflake etc) to evaluate manual operations and automate them using a range of tools available within Humana.  Collaborates with cross platform teams and engineers to develop specifications for new cloud based products/services, applications and solutions. Rationalize technology and legacy scripts and migrate to new microservices architecture. Enable IT and Business users to self-serve data platform capabilities. Acts as a product owner for the supporting platforms, creates strategic road maps to evolve and mature the data platform space.

Use your skills to make an impact
 

Required Qualifications

• Strong proficiency in Python with a minimum of 5 years of hands-on experience in backend development including but not limited to API frameworks (Flask, Fast API), Data Processing (Pyspark, Pandas).
• Strong experience in interacting with SQL/NOSQL databases
• Experience with code coverage tools such as SonarQube, unit testing frameworks such as pytest or unittest and security scanning.
• Familiar with data pipeline orchestration tools such as Apache Airflow or Prefect or Dagster and proficiency in ETL (Extract, Transform, Load) processes.
• Familiar with data warehousing solutions like Databricks BigQuery, Redshift, or Snowflake or open source solutions such as Apache Spark or Hadoop, delta lake, iceberg.
• Must be passionate about contributing to an organization focused on continuously improving consumer experiences

Preferred Qualifications

• Relevant certifications in cloud platforms and data engineering in GCP or Azure
• Contributions to open-source projects or active participation in the developer community.
• Experience with Devops tools like Jenkins, github actions or  Gitlab CI
• Experience with Docker for containerization and Kubernetes for container orchestration

Additional Information

As part of our hiring process for this opportunity, we will be using an interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information from you pertaining to your relevant skills and experience at a time that is best for your schedule.

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.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

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, knowl