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.
Summary:
The Senior Data Engineer will oversee the business units data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. Responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and enabling data-driven decision-making processes.
Primary responsibilities for role:
Independently lead analytical development to extract hidden insights from Real World Medical Data

Independently identify insights from data and metadata sources, interpreting and communicating findings to management

Ensure completeness, critical evaluation, correctness and integrity of analyses and datasets

Lead and advise integration of internal and external needs and capabilities of internal RWD team and external vendors; manage vendor process changes that require team to continuously reformat or set up new environments (ie. Snowflake)

Established, maintains and enforces our data pipeline standards and conventions

Establishes and maintains our data engineering documentation

Manages our data pipeline codebase using external source control repositories as well as within-product tools (e.g., Databricks notebooks)

Works on significant and unique issues where analysis of situations or data requires an evaluation of intangibles

Determines methods and procedures on new assignments

Networks with key contacts outside own area of expertise

Exercises judgment in selecting methods, evaluating, adapting of complex techniques and evaluation criteria for obtaining results

Accountable for results, which may impact the entire function

Supervises and manages vendors and external consultant(s)

Serve internally as a subject matter expert; advises others on complex matters

Additional Responsibilities:
Work closely with teams across biostatistics, data science, data engineering and cloud operations to design and implement data initiatives based on understanding of their use cases

Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data

Provide guidance and hands-on support with real world data management and analysis (real world data can include EHRs, claims, wearables, questionnaires, imaging data, etc.)

Engage external resources to apply cutting edge methodologies and ensure recognition in the scientific community including publications

Stay abreast of emerging trends and advancements in data engineering, and software development to continually enhance our research and development operations

Knowledge, Skills, and Abilities:
Must be a delivery-focused engineer who is passionate about leveraging technology for meaningful and impactful applications

Ability to rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve software solutions in alignment with strategic Company objectives

Proficient with data science tools such as R, R data pipelining tools (e.g., Posit connect) and Python libraries (PyTorch, Scikit-Learn, SciPy)

Must have excellent written and oral communication skills to convey advanced information and persuade several diverse stakeholders/audiences

Deep understanding of complex data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes.

Background in SQL and cloud infrastructure such as S3, ECS, EMR, Lambda, Glue as well as expertise with some core data technologies such as of Trino, Presto, Parquet, Hudi, Iceberg

Exceptional collaboration and communication skills to effectively engage and work with stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences.

Experience in data engineering using R and Python (or other software toolkits), with a demonstrated ability to thrive in ambiguous and rapidly changing environments

Proficient with data science tools such as R, R data pipelining tools (e.g., Posit connect) and Python libraries (PyTorch, Scikit-Learn, SciPy)

Education:
Bachelors or Masters degree in Computer Science, Engineering, or a related field
Experience:
8+ years of relevant experience with a Bachelor's degree
Equivalency:
6 years and a Masters degree; or 3 years with a PhD; or 12 years of related experience
Pay Scale:
The estimated pay scale for the Sr. Data Engineer role based in the United States (non-California), is $114,000.00-$148.000.00 per year. Additionally, the position is eligible to participate in the company bonus pool. We offer a wide variety of benefits including, but not limited to: Medical, Dental, Vision, PTO, 9 paid Holidays per year, up to 5% 401(K) match and tuition reimbursement. Final compensation packages will ultimately depend on education, experience, skillset, knowledge, where the role is performed, internal equity and market data. We are committed to offering our employees opportunities for professional growth and career progression. Grifols is a global healthcare organization with employees in 30 countries focused on patient health and providing impactful results. Since our humble beginnings in 1909, Grifols has been a family company that prides itself on its family-like culture. Our company has more than tripled over the last 10 years, and you can grow with us!
For California:
The estimated pay scale for the Sr. Data Engineer role based in San Francisco, San Carlos or Emeryville, California, is $140,000.00- $185,000.00 per year.
The estimated pay scale for the Sr. Data Engineer role based in all other cities in California is $130,000.00 - $170,200.00 per year.
For Washington State:
Currently, the first year PTO accrual for this role is 120 hours per year. Then, after completion of 365 days of employment the PTO accrual for this role will increase to 160 hours per year.
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, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other characteristic or status protected by law. We will consider for employment all qualified Applicants, including those with arrests or conviction records, in a manner consistent with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and City of Los Angeles Fair Chance Initiative for Hiring Ordinance.
Learn more about Grifols (https://www.grifols.com/en/what-we-do)
Req ID:  521347
Type:  Regular Full-Time
Job Category:  Research & Development

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.

Summary:

The Senior Data Engineer will oversee the business unit’s data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. Responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and enabling data-driven decision-making processes.

Primary responsibilities for role:

Independently lead analytical development to extract hidden insights from Real World Medical Data

Independently identify insights from data and metadata sources, interpreting and communicating findings to management

Ensure completeness, critical evaluation, correctness and integrity of analyses and datasets

Lead and advise integration of internal and external needs and capabilities of internal RWD team and external vendors; manage vendor process changes that require team to continuously reformat or set up new environments (ie. Snowflake)

Established, maintains and enforces our data pipeline standards and conventions

Establishes and maintains our data engineering documentation

Manages our data pipeline codebase using external source control repositories as well as within-product tools (e.g., Databricks notebooks)

Works on significant and unique issues where analysis of situations or data requires an evaluation of intangibles

Determines methods and procedures on new assignments

Networks with key contacts outside own area of expertise

Exercises judgment in selecting methods, evaluating, adapting of complex techniques and evaluation criteria for obtaining results

Accountable for results, which may impact the entire function

Supervises and manages vendors and external consultant(s)

Serve internally as a subject matter expert; advises others on complex matters

Additional Responsibilities:

Work closely with teams across biostatistics, data science, data engineering and cloud operations to design and implement data initiatives based on understanding of their use cases

Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data

Provide guidance and hands-on support with real world data management and analysis (real world data can include EHRs, claims, wearables, questionnaires, imaging data, etc.)

Engage external resources to apply cutting edge methodologies and ensure recognition in the scientific community including publications

Stay abreast of emerging trends and advancements in data engineering, and software development to continually enhance our research and development operations

Knowledge, Skills, and Abilities:

Must be a delivery-focused engineer who is passionate about leveraging technology for meaningful and impactful applications

Ability to rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve software solutions in alignment with strategic Company objectives

Proficient with data science tools such as R, R data pipelining tools (e.g., Posit connect) and Python libraries (PyTorch, Scikit-Learn, SciPy)

Must have excellent written and oral communication skills to convey advanced information and persuade several diverse stakeholders/audiences

Deep understanding of complex data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes.

Background in SQL and cloud infrastructure such as S3, ECS, EMR, Lambda, Glue as well as expertise with some core data technologies such as of Trino, Presto, Parquet, Hudi, Iceberg

Exceptional collaboration and communication skills to effectively engage and work with stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences.

Experience in data engineering using R and Python (or other software toolkits), with a demonstrated ability to thrive in ambiguous and rapidly changing environments

Proficient with data science tools such as R, R data pipelining tools (e.g., Posit connect) and Python libraries (PyTorch, Scikit-Learn, SciPy)

Education:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Experience:

8+ years of relevant experience with a Bachelor's degree

Equivalency:

6 years and a Master’s degree; or 3 years with a PhD; or 12 years of related experience

Pay Scale:

The estimated pay scale for the Sr. Data Engineer role based in the United States (non-California), is $114,000.00-$148.000.00 per year. Additionally, the position is eligible to participate in the company bonus pool. We offer a wide variety of benefits including, but not limited to: Medical, Dental, Vision, PTO, 9 paid Holidays per year, up to 5% 401(K) match and tuition reimbursement. Final compensation packages will ultimately depend on education, experience, skillset, knowledge, where the role is performed, internal equity and market data. We are committed to offering our employees opportunities for professional growth and career progression. Grifols is a global healthcare organization with employees in 30 countries focused on patient health and providing impactful results. Since our humble beginnings in 1909, Grifols has been a family company that prides itself on its family-like culture. Our company has more than tripled over the last 10 years, and you can grow with us!

For California:

The estimated pay scale for the Sr. Data Engineer role based in San Francisco, San Carlos or Emeryville, California, is $140,000.00- $185,000.00 per year.

The estimated pay scale for the Sr. Data Engineer role based in all other cities in California is $130,000.00 - $170,200.00 per year.

For Washington State:

Currently, the first year PTO accrual for this role is 120 hours per year. Then, after completion of 365 days of employment the PTO accrual for this role will increase to 160 hours per year.

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, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other characteristic or status protected by law. We will consider for employment all qualified Applicants, including those with arrests or conviction records, in a manner consistent with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.

Learn more about Grifols (https://www.grifols.com/en/what-we-do)

Req ID:  521347

Type:  Regular Full-Time

Job Category:  Research & Development

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