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IQVIA

Data Engineer, Data Operations

IQVIA

Data Engineer responsible for building and maintaining data pipelines for business intelligence at IQVIA. Utilizing Snowflake, SQL, and Python to ensure high-quality data availability.

Posted 7/14/2026full-timeRemote • Illinois • 🇺🇸 United StatesSeniorLead💰 $69,300 - $173,200 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Expertise in building and maintaining data layers and sources, with strong proficiency in SQL and Python for data transformations in Snowflake. Proven ability to troubleshoot data quality issues and design analytics-ready data models for reporting.

Highest-signal resume keywords
Data EngineeringSQLPythonSnowflakeETL/ELT Tools

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
Data TransformationData Quality TroubleshootingData Pipeline DevelopmentData Model DesignData Validation
Tools & Technologies
SnowflakeETL ToolsOrchestration Frameworks
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Data OperationsBackend Data DevelopmentAnalytics-Ready Data

Tech Stack

Tools & technologies
ETLPythonSQL

About the role

Key responsibilities & impact
  • Build and maintain curated data layers and data sources
  • Develop and optimize SQL- and Python-based transformations in Snowflake
  • Troubleshoot data quality issues originating from upstream pipelines
  • Validate incoming datasets and ensure accuracy, completeness, and consistency
  • Design and manage analytics-ready data models and tables to support reporting and dashboards
  • Serve as a key point of contact for reporting data layers

Requirements

What you’ll need
  • Bachelor's degree
  • 7+ years of experience in data engineering, data operations, or backend data development
  • Strong hands-on experience with Snowflake, SQL, and Python
  • Proven experience building and supporting production-grade data pipelines and workflows
  • Strong experience with ETL/ELT tools and orchestration frameworks
  • Experience troubleshooting data issues, pipeline failures, and data inconsistencies

Benefits

Comp & perks
  • health insurance
  • retirement plans
  • paid time off
  • flexible work arrangements
  • professional development