Data Engineer

Grifols

U.S. Data Engineer at Grifols working on data pipelines and transformation logic for analytics.

Posted 7/14/2026full-timeRTP • North Carolina • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in building and optimizing ETL/ELT data pipelines using SQL and Python, with a strong understanding of data modeling and cloud-based engineering activities. Capable of collaborating with cross-functional teams to ensure data quality, consistency, and effective reporting.

Highest-signal resume keywords

ETL/ELT Data Pipeline DevelopmentSQL ProficiencyPython ProgrammingData ModelingCloud Engineering (Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL/ELT DevelopmentSQLPythonSparkData WarehousingData Lakehouse ArchitectureDebuggingPerformance TuningData Quality RulesTransformation Logic

Soft Skills

CollaborationCommunication

Tools & Technologies

Azure Data FactoryDatabricksDbtAirflow

Industry Keywords

Data GovernanceMetadata ManagementData IntegrationBusiness IntelligenceKPI Reporting

Tech Stack

Tools & technologies

AirflowAzureCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Build, maintain, and optimize ETL/ELT data pipelines for ingestion, transformation, and delivery of U.S. data assets
Develop SQL, Python, and Spark based transformation logic for analytics and reporting needs
Collaborate with the U.S. Data Architect to design data models and semantic structures aligned to business requirements
Work with BI to deliver curated, validated datasets supporting dashboards, KPIs, and analytics
Monitor pipeline performance, troubleshoot failures, and perform root cause analysis
Implement data quality rules, validation routines, logging, and audit checks
Support CRM data integration and ensure data consistency across source systems
Document pipelines, schemas, transformation logic, and operational processes
Participate in testing and deployment of data enhancements, integrations, and new data sources
Coordinate with Governance teams to maintain lineage, metadata, and access controls
Support cloud based engineering activities (Azure preferred)

Requirements

What you’ll need

Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field; or equivalent experience
Minimum of 5 years of related experience
Strong proficiency in SQL and Python
Hands‑on experience with modern ETL/ELT tools and frameworks (ADF, Databricks, Spark, dbt, Airflow, etc.)
Understanding of data warehouse and lakehouse architectures
Familiarity with data modeling, semantic layers, and business data structures
Strong debugging, troubleshooting, and performance‑tuning capabilities
Ability to work collaboratively across technical and business stakeholders
Strong written and verbal communication skills

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off