✦ Luna Orbit — Data & Analytics

Software Engineering Senior Advisors- Hybrid

at Cigna Group

📍 Austin, TX Hybrid Posted March 13, 2026
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Position Details

Type Full-Time
Experience senior
Exp. Years 5+ years
Education Bachelor's in Computer Science, Electronics Engineering, or related field
Category Data & Analytics

About this role

This role involves leading data engineering projects in healthcare analytics, developing scalable data systems, and integrating AI solutions.

Key Responsibilities

  • Lead data pipeline development
  • Implement scalable data solutions
  • Partner with stakeholders on data profiling
  • Enforce modern delivery practices
  • Develop AI-enabled data systems

Technical Overview

Stack includes Python, SQL, Databricks, AWS cloud services, ETL tools, and Generative AI technologies, with a focus on data pipeline development and management.

Ideal Candidate

The ideal candidate is a senior data engineer with at least 5 years of experience in data and analytics, proficient in Python, SQL, and cloud platforms like AWS. They should have expertise in data management, ETL processes, and experience with Databricks and Generative AI certifications.

Must-Have Skills

Bachelor's degree in Computer ScienceElectronics Engineeringor closely related field5 years of Data and Analytics Engineering experienceDatabricks Generative AI certificationexperience with Python scriptingSQL expertise including Teradata & SnowflakeDatabricksPySparkworking in an agile CI/CD environmentAWS

Nice-to-Have Skills

Master's degree in related fieldexperience with Reltio and Informatica MDMexperience with GlueTerraformLambdaAuroraRedshiftEMRexperience with Jenkinshealth care information domain

Tools & Platforms

DatabricksAWSTeradataSnowflakeInformatica MDMReltioJenkinsGitSVNTerraformLambdaAuroraRedshiftEMR

Required Skills

PythonSQLTeradataSnowflakeDatabricksReltioInformatica MDMPySparkAgileAWSGlueTerraformLambdaAuroraRedshiftEMRGitSVNJenkinsData ManagementETLGenerative AI

Hard Skills

PythonPython scriptingSQLTeradataSnowflakeDatabricksReltioInformatica MDMPySparkAgile (ScrumKanban)AWSAmazon Web ServicesGlueTerraformLambdaAuroraRedshiftEMRGitSVNJenkinsData ManagementETLGenerative AI

Soft Skills

leadershiptechnical expertisecollaborationcommunicationproblem-solvingagile development

Certifications

Required

Databricks Generative AI certification

Industry & Role

Industry Healthcare IT
Job Function Data Engineering and Analytics Leadership
Role Subtype AI Engineer
Tech Domains Python, TensorFlow, PyTorch, AWS, AI, Natural Language Processing, Computer Vision

Keywords for Your Resume

Data & Analytics EngineeringPythonSQLTeradataSnowflakeDatabricksPySparkAgileScrumKanbanAWSAmazon Web ServicesETLData ManagementGenerative AIInformatica MDMReltioJenkinsGitSVNTerraformLambdaAuroraRedshiftEMR

Deal Breakers

Lack of Databricks Generative AI certification, Less than 3 years of relevant experience, No experience with AWS or cloud platforms, No experience with ETL or Data Management tools

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