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GMH

Data Engineer

GMH

. Design and develop scalable ETL pipelines to support enterprise data needs .

Posted 10/16/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing scalable ETL pipelines, integrating data from various sources, and ensuring data integrity and quality. Proficient in leveraging cloud platforms and modern data tools to optimize workflows and support data-driven initiatives.

Highest-signal resume keywords
ETL Pipeline DevelopmentSQL ProficiencyPython ProgrammingBig Data PlatformsCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ETL DevelopmentData IntegrationData OptimizationSQLPythonData ValidationData CleansingBig Data TechnologiesNoSQLDatabase Technologies
Soft Skills
Problem-SolvingCommunicationBusiness Acumen
Tools & Technologies
SnowflakeAWSAzureGCPDatabricksOracleHadoopTeradata
Industry Keywords
Data EngineeringData QualityData-Driven InitiativesPerformance MonitoringWorkflow Optimization

Tech Stack

Tools & technologies
AWSAzureCloudETLGoogle Cloud PlatformHadoopNoSQLOraclePythonSQL

About the role

Key responsibilities & impact
  • Design and develop scalable ETL pipelines to support enterprise data needs
  • Integrate data from clinical systems, APIs, warehouses, and external sources
  • Build and maintain BI solutions to monitor performance and drive strategic decisions
  • Ensure data integrity, consistency, and quality through validation and cleansing
  • Optimize workflows for performance and scalability
  • Collaborate across departments to support data-driven initiatives
  • Troubleshoot and resolve data/reporting issues with precision and urgency

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Systems, Mathematics, or related field, or equivalent experience
  • 6+ years of experience in data engineering, integration, and optimization
  • Hands-on experience with big data platforms (e.g., Snowflake)
  • Proficiency in SQL and Python
  • Experience with cloud platforms (AWS, Azure, GCP) and modern data tools (Databricks, Snowflake)
  • Familiarity with database technologies (SQL, NoSQL, Oracle, Hadoop, Teradata)
  • Strong problem-solving and debugging skills
  • Excellent communication and business acumen
  • Candidates must reside in Georgia, Texas, Tennessee, North Carolina, Florida, South Carolina, Michigan, or Colorado

Benefits

Comp & perks
  • Medical, dental, vision, and prescription drug coverage
  • Retirement savings plans with employer contributions
  • Life insurance
  • Disability coverage
  • Paid time off
  • Holidays
  • Family leave benefits
  • Tuition reimbursement
  • Professional development programs
  • Opportunities for advancement
  • Employee Assistance Program (EAP)
  • Wellness initiatives
  • Discounts on services