✦ Luna Orbit — Data & Analytics

Data Engineer - Senior (Must be in UT, FL, or GA)

at Cooperative Benefits Group

📍 Remote, US Remote 💰 $110K – $140K USD / year Posted March 14, 2026
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Position Details

Salary $110K – $140K USD / year
Type Not Specified
Experience senior
Exp. Years 5+ years
Education Not specified
Category Data & Analytics

About this role

This role involves designing and maintaining scalable data pipelines and warehouses within cloud environments like AWS and Azure, supporting data-driven decision making.

Key Responsibilities

  • Develop data pipelines
  • Maintain data warehouses
  • Implement ETL processes
  • Optimize data systems
  • Ensure data security

Technical Overview

Focus on cloud-based data engineering with expertise in AWS, Azure, Python, SQL, ETL processes, and data architecture, collaborating with data teams.

Ideal Candidate

The ideal candidate is a senior data engineer with over 5 years of experience designing and maintaining scalable data pipelines, warehouses, and integrations in AWS and Azure cloud environments.

Must-Have Skills

Data pipelinesData warehousesETLAWSAzurePythonSQLData modelingData integration

Nice-to-Have Skills

Big dataData securityAutomationData architectureData deployment

Tools & Platforms

AWSAmazon Web ServicesAzureMicrosoft AzurePythonSQL

Required Skills

Data pipelinesData warehousesETLCloud platformsAWSAmazon Web ServicesAzureMicrosoft AzurePythonSQLData modelingData integration

Hard Skills

Data pipelinesData warehousesETLCloud platformsAWSAmazon Web ServicesAzureMicrosoft AzurePythonSQLData modelingData integrationSoftware engineeringAutomationBig dataData managementData deploymentData architectureData security

Soft Skills

leadershipproblem-solvingcommunicationmentoringcollaborationstrategic thinking

Industry & Role

Industry Healthcare
Job Function Data pipeline and warehouse engineering in cloud environments
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Microsoft Azure, Python, SQL

Keywords for Your Resume

data pipelinesdata warehousesETLcloud platformsAWSAmazon Web ServicesAzureMicrosoft AzurePythonSQLdata modelingdata integrationsoftware engineeringautomationbig datadata managementdata deploymentdata architecturedata security

Deal Breakers

Lack of experience with AWS or Azure, No experience with data pipelines or data warehouses, No knowledge of ETL processes, No experience in cloud data engineering

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