Software Engineering Senior Advisor - Hybrid

Cigna Group•Austin, TX

1d•Hybrid

About The Position

Are you passionate about transforming data into actionable insights? Join our ambitious and compassionate team, where your expertise will drive innovative solutions that empower our business and technical leaders to make impactful decisions. Responsibilities Partner with business and technical stakeholders to deeply understand and translate requirements into scalable data solutions. Design and document robust, high-performance data architectures that support strategic business outcomes. Build and optimize production-grade ETL pipelines using Spark and PySpark, ensuring reliability and efficiency. Develop and maintain data models that enable advanced analytics and reporting. Write efficient, complex SQL queries (Teradata SQL, Hive SQL, Spark SQL) across platforms such as Teradata and Databricks Unity Catalog. Implement and manage CI/CD pipelines to seamlessly deploy code artifacts to AWS and Databricks. Orchestrate and monitor Databricks jobs using Databricks Workflows, proactively troubleshooting and resolving issues. Contribute actively to Agile ceremonies, including sprint planning, grooming, daily stand-ups, demos, and retrospectives, fostering a culture of continuous improvement. Required Qualifications 8+ years of related hands-on experience (Spark, PySpark, Shell scripting, Teradata, and Databricks). Proven ability to write complex and efficient SQL queries and stored procedures. Solid experience implementing data lake or data warehouse solutions on Databricks. Proficiency with Agile methodologies and DevOps tools such as Git, Jenkins, and Artifactory. Experience with Unix/Linux shell scripting (KSH) and basic Unix server administration. Familiarity with job scheduling tools like CA7 Enterprise Scheduler. Hands-on experience with AWS services including S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch. Expertise in Databricks components such as Delta Lake, Notebooks, Pipelines, cluster management, and cloud integration (Azure/AWS). Proficiency with collaboration tools like Jira and Confluence. Demonstrated creativity, foresight, and sound judgment in planning and delivering technical solutions. Preferred Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. Knowledge of the healthcare domain. Bring your curiosity, drive, and collaborative spirit to our team—together, we’ll shape the future of data-driven decision-making! If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. About The Cigna Group Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you require reasonable accommodation in completing the online application process, please email: [email protected] for support. Do not email [email protected] for an update on your application or to provide your resume as you will not receive a response. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Requirements

8+ years of related hands-on experience (Spark, PySpark, Shell scripting, Teradata, and Databricks).
Proven ability to write complex and efficient SQL queries and stored procedures.
Solid experience implementing data lake or data warehouse solutions on Databricks.
Proficiency with Agile methodologies and DevOps tools such as Git, Jenkins, and Artifactory.
Experience with Unix/Linux shell scripting (KSH) and basic Unix server administration.
Familiarity with job scheduling tools like CA7 Enterprise Scheduler.
Hands-on experience with AWS services including S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch.
Expertise in Databricks components such as Delta Lake, Notebooks, Pipelines, cluster management, and cloud integration (Azure/AWS).
Proficiency with collaboration tools like Jira and Confluence.
Demonstrated creativity, foresight, and sound judgment in planning and delivering technical solutions.

Nice To Haves

Bachelor’s degree in Computer Science, Engineering, or a related field.
Knowledge of the healthcare domain.

Responsibilities

Partner with business and technical stakeholders to deeply understand and translate requirements into scalable data solutions.
Design and document robust, high-performance data architectures that support strategic business outcomes.
Build and optimize production-grade ETL pipelines using Spark and PySpark, ensuring reliability and efficiency.
Develop and maintain data models that enable advanced analytics and reporting.
Write efficient, complex SQL queries (Teradata SQL, Hive SQL, Spark SQL) across platforms such as Teradata and Databricks Unity Catalog.
Implement and manage CI/CD pipelines to seamlessly deploy code artifacts to AWS and Databricks.
Orchestrate and monitor Databricks jobs using Databricks Workflows, proactively troubleshooting and resolving issues.
Contribute actively to Agile ceremonies, including sprint planning, grooming, daily stand-ups, demos, and retrospectives, fostering a culture of continuous improvement.

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