Verified Job
Engineering - Architecture
U.S. Data Engineer
Engineering - Architecture
#802466
Remote / WFH
Grifols
Job Description
Qualifications
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
Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field; or equivalent experience
Experience typically requires a minimum of 5 years of related experience
Project or technical leadership experience required
Depending on the area of assignment, directly related experience or a combination of directly related education and experience and/or competencies may be considered in place of the stated requirements
Example: If a job level requires a Bachelor’s degree plus 4 years of experience, an equivalency could include 8 years of experience, an Associate’s degree with 6 years of experience, or a Master’s degree with 2 years of experience
Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists
Light to moderate lifting and carrying objects with a maximum lift of 25lbs
Frequently drives to site locations with occasional travel within the United States
Able to communicate information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken and written words and sentences
Must work with diverse groups to obtain consensus on issues
Responsibilities
The U.S. Data Engineer designs, builds, and maintains data pipelines and transformation logic that support analytics, reporting, and operational data needs within the U.S. organization
This role partners with the U.S. Data Architect, BI, CRM, Data Governance, and business stakeholders to deliver clean, reliable, well‑structured datasets optimized for analytical use
The U.S. Data Engineer ensures data pipelines meet quality, performance, and compliance standards while supporting continuous improvements to the U.S. data ecosystem
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)
Work is performed in an office environment with exposure to electrical office equipment
Frequently sits for 6-8 hours per day
Occasionally walks and stands
Occasionally bends and twists neck
Interacts with others, relates sensitive information to diverse groups
Job description
Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.
The U.S. Data Engineer designs, builds, and maintains data pipelines and transformation logic that support analytics, reporting, and operational data needs within the U.S. organization. This role partners with the U.S. Data Architect, BI, CRM, Data Governance, and business stakeholders to deliver clean, reliable, well‑structured datasets optimized for analytical use. The U.S. Data Engineer ensures data pipelines meet quality, performance, and compliance standards while supporting continuous improvements to the U.S. data ecosystem.
Primary Responsibilities
• 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).
Knowledge, Skills, And Abilities
• 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.
Education
Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field; or equivalent experience.
Experience typically requires a minimum of 5 years of related experience. Project or technical leadership experience required. Supervisory or management experience preferred.
Equivalency
Depending on the area of assignment, directly related experience or a combination of directly related education and experience and/or competencies may be considered in place of the stated requirements. Example: If a job level requires a Bachelor’s degree plus 4 years of experience, an equivalency could include 8 years of experience, an Associate’s degree with 6 years of experience, or a Master’s degree with 2 years of experience.
Occupational Demands
Work is performed in an office environment with exposure to electrical office equipment. Frequently sits for 6-8 hours per day. Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists. Occasionally walks and stands. Occasionally bends and twists neck. Light to moderate lifting and carrying objects with a maximum lift of 25lbs. Frequently drives to site locations with occasional travel within the United States. Able to communicate information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken and written words and sentences. Interacts with others, relates sensitive information to diverse groups. Must work with diverse groups to obtain consensus on issues.
Third Party Agency And Recruiter Notice
Agencies that present a candidate to Grifols must have an active, nonexpired, Grifols Agency Master Services Agreement with the Grifols Talent Acquisition Department. Additionally, agencies may only submit candidates to positions that they have been engaged to work on by a Grifols Recruiter. All resumes must be sent to a Grifols Recruiter under these terms or they will be considered a Grifols candidate.
Grifols provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; ****** orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. We will consider for employment all qualified applicants in a manner consistent with the requirements of all applicable laws.
Location: NORTH AMERICA : USA : NC-RTP:USNC0001 - RTP NC-Headquarters
Learn more about Grifols
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
Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field; or equivalent experience
Experience typically requires a minimum of 5 years of related experience
Project or technical leadership experience required
Depending on the area of assignment, directly related experience or a combination of directly related education and experience and/or competencies may be considered in place of the stated requirements
Example: If a job level requires a Bachelor’s degree plus 4 years of experience, an equivalency could include 8 years of experience, an Associate’s degree with 6 years of experience, or a Master’s degree with 2 years of experience
Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists
Light to moderate lifting and carrying objects with a maximum lift of 25lbs
Frequently drives to site locations with occasional travel within the United States
Able to communicate information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken and written words and sentences
Must work with diverse groups to obtain consensus on issues
Responsibilities
The U.S. Data Engineer designs, builds, and maintains data pipelines and transformation logic that support analytics, reporting, and operational data needs within the U.S. organization
This role partners with the U.S. Data Architect, BI, CRM, Data Governance, and business stakeholders to deliver clean, reliable, well‑structured datasets optimized for analytical use
The U.S. Data Engineer ensures data pipelines meet quality, performance, and compliance standards while supporting continuous improvements to the U.S. data ecosystem
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)
Work is performed in an office environment with exposure to electrical office equipment
Frequently sits for 6-8 hours per day
Occasionally walks and stands
Occasionally bends and twists neck
Interacts with others, relates sensitive information to diverse groups
Job description
Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.
The U.S. Data Engineer designs, builds, and maintains data pipelines and transformation logic that support analytics, reporting, and operational data needs within the U.S. organization. This role partners with the U.S. Data Architect, BI, CRM, Data Governance, and business stakeholders to deliver clean, reliable, well‑structured datasets optimized for analytical use. The U.S. Data Engineer ensures data pipelines meet quality, performance, and compliance standards while supporting continuous improvements to the U.S. data ecosystem.
Primary Responsibilities
• 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).
Knowledge, Skills, And Abilities
• 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.
Education
Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field; or equivalent experience.
Experience typically requires a minimum of 5 years of related experience. Project or technical leadership experience required. Supervisory or management experience preferred.
Equivalency
Depending on the area of assignment, directly related experience or a combination of directly related education and experience and/or competencies may be considered in place of the stated requirements. Example: If a job level requires a Bachelor’s degree plus 4 years of experience, an equivalency could include 8 years of experience, an Associate’s degree with 6 years of experience, or a Master’s degree with 2 years of experience.
Occupational Demands
Work is performed in an office environment with exposure to electrical office equipment. Frequently sits for 6-8 hours per day. Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists. Occasionally walks and stands. Occasionally bends and twists neck. Light to moderate lifting and carrying objects with a maximum lift of 25lbs. Frequently drives to site locations with occasional travel within the United States. Able to communicate information and ideas so others will understand; with the ability to listen to and understand information and ideas presented through spoken and written words and sentences. Interacts with others, relates sensitive information to diverse groups. Must work with diverse groups to obtain consensus on issues.
Third Party Agency And Recruiter Notice
Agencies that present a candidate to Grifols must have an active, nonexpired, Grifols Agency Master Services Agreement with the Grifols Talent Acquisition Department. Additionally, agencies may only submit candidates to positions that they have been engaged to work on by a Grifols Recruiter. All resumes must be sent to a Grifols Recruiter under these terms or they will be considered a Grifols candidate.
Grifols provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; ****** orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. We will consider for employment all qualified applicants in a manner consistent with the requirements of all applicable laws.
Location: NORTH AMERICA : USA : NC-RTP:USNC0001 - RTP NC-Headquarters
Learn more about Grifols
