Bring more to life.
At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact – innovating at the speed of life.
Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we’re committed to hiring and developing from within. You’ll thrive in a culture of belonging where you and your unique viewpoint matter.
Learn about the Danaher Business System which makes everything possible.
Staff Data Engineer (Reporting & Analytics) (f/m/d) is responsible for designing and improving Danaher’s data management & analytics function. The primary objective of this role is to build analytics strategies that align with business priorities and drive measurable business outcomes.
This position reports to the Sr. Director – Data Engineering and is part of the Core Technology & Planning.
This is a Danaher Corporate role, hosted by our Cytiva operating company in Kraków, and will be an on-site role (Kraków) or remote (Poland).
In this role, you will have the opportunity to:
Data Engineer builds and maintains analytics-ready datasets optimized for reporting and dashboards for consumption by all Danaher Opcos.
Enable self-service access through semantic layers, catalogues, and APIs, empowering data scientists, analysts, and business teams to consume data without deep pipeline knowledge.
Partner with stakeholders to translate business questions into clear, accurate metrics.
Ensure data accuracy, freshness, and consistency across reporting surfaces.
Implement testing, documentation, and quality checks for data analytics.
The essential requirements of the job include:
Minimum 8 years' experience in analytics engineering, reporting, or business intelligence.
Advanced proficiency in PySpark for advanced data processing tasks.
Hands-on experience delivering Fabric/Databricks lakehouse solutions with medallion architecture, leveraging Dataflow Gen2, Fabric Pipelines, and PySpark Notebooks in OneLake/Lakehouse.
Strong knowledge of Power BI architecture, including DirectQuery, Composite Models, Row-Level Security (RLS), Object-Level Security (OLS), Dashboards.
Build and manage complex ETL/ELT workflows that extract, transform, and load data for downstream analytics and reporting.
Strong understanding of CI/CD practices, DevOps.
Hands-on experience with cloud data ecosystems (AWS, Azure) designing high-volume, high-availability data pipelines.
Travel, Motor Vehicle Record & Physical/Environment Requirements:
Ability to travel to Washington DC and global Danaher sites, up to 10%.
It would be a plus if you also possess previous experience in:
Experience with modern data warehouses (Snowflake, BigQuery, Redshift).
Familiarity with cloud data platforms (AWS, Azure, GCP).
Knowledge of data governance, metadata management, and data quality frameworks.
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Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
Skills Required
- Minimum 8 years' experience in analytics engineering, reporting, or business intelligence.
- Advanced proficiency in PySpark for advanced data processing tasks.
- Hands-on experience delivering Fabric/Databricks lakehouse solutions with medallion architecture using Dataflow Gen2, Fabric Pipelines, and PySpark Notebooks in OneLake/Lakehouse.
- Strong knowledge of Power BI architecture, including DirectQuery, Composite Models, Row-Level Security (RLS), Object-Level Security (OLS), and Dashboards.
- Build and manage complex ETL/ELT workflows for downstream analytics and reporting.
- Strong understanding of CI/CD practices and DevOps.
- Hands-on experience with cloud data ecosystems (AWS, Azure) designing high-volume, high-availability data pipelines.
- Experience with modern data warehouses (Snowflake, BigQuery, Redshift).
- Familiarity with cloud data platforms (GCP).
- Knowledge of data governance, metadata management, and data quality frameworks.
Cepheid Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cepheid and has not been reviewed or approved by Cepheid.
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Leave & Time Off Breadth — PTO and paid holidays are portrayed as robust, with formal programs and mentions of generous time off and rollover in some cases. This breadth supports a positive view of time-off availability.
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Healthcare Strength — Core medical, dental, and vision coverage is highlighted repeatedly and is viewed as comprehensive for regular full‑time employees. Descriptions such as “good” or “great” benefits reinforce the strength of the health coverage.
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Retirement Support — A 401(k) plan with company matching is consistently included as part of the package. The presence of matching contributions strengthens perceived retirement readiness.
Cepheid Insights
What We Do
Cepheid is dedicated to improving healthcare by pioneering molecular diagnostics that combine speed, accuracy, and flexibility. The company's GeneXpert® systems and Xpert® tests automate highly complex and time-consuming manual procedures, providing A Better Way for institutions of any size to perform world-class PCR testing. Cepheid’s broad test portfolio spans respiratory infections, blood virology, women’s and sexual health, TB and emerging infectious diseases, healthcare-associated infectious diseases, oncology and human genetics. The company’s solutions deliver actionable results where they are needed most – from central laboratories and hospitals to near-patient settings. For more information, visit http://www.cepheid.com.
