Staff Data Engineer

Danaher • Washington, DC

95d • $130,000 - $160,000 • Remote

About The Position

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. The Staff Data Engineer is responsible for designing and developing high-quality, scalable data solutions that support business analytics, AI, and enterprise solutions across Danaher. In this senior role, you will play a critical part in assessing and improving data availability and quality across multiple enterprise systems, ensuring our data foundation supports actionable insights and innovation. This position reports to the Senior Director, Enterprise Data & Analytics Platforms and is part of the Danaher Corporate IT team and will be fully remote with frequent travel to Washington DC and global Danaher sites.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• 10+ years of hands-on experience with data engineering technologies such as SQL, ETL/ELT frameworks, data warehousing platforms (e.g., Teradata, Oracle, Redshift, Snowflake), and programming/scripting languages and frameworks (e.g., Python, PySpark).
• Deep expertise in cloud data warehousing, especially with Snowflake, and familiarity with equivalent platforms (e.g., Amazon Redshift, Google BigQuery, or Azure Synapse Analytics).
• Hands-on experience with cloud ecosystems in Microsoft Azure and Amazon Web Services (AWS), leveraging their data storage, integration, and analytics services (such as Azure Data Lake, Azure Data Factory, Databricks, or AWS S3, AWS Glue).
• Strong experience working with data from enterprise systems such as Oracle EBS, SAP ERP, Microsoft Dynamics, and Salesforce CRM, with proven ability to extract, integrate, and model data from these sources.

Nice To Haves

• The Danaher Business System (DBS) or other lean business methodology in Information Technology.
• Professional certifications such as Snowflake certifications (e.g., SnowPro Core) or cloud/data engineering certifications (AWS, GCP, Azure).
• Experience with dbt, Fivetran, Boomi, orchestration tools (e.g., Azure Data Factory), CI/CD for data pipelines, and cloud platforms (AWS, Azure, GCP).

Responsibilities

• Build and maintain robust pipelines and architectures to meet enterprise-wide analytics and reporting needs, ensuring high-quality, scalable, and performant solutions.
• Work in 2-week sprint cycles, iteratively delivering business value and continuously improving data solutions.
• Assess and improve data quality - Evaluate data availability and quality across enterprise sources (Oracle EBS, SAP, Microsoft Dynamics, Salesforce, and Snowflake) and implement solutions such as improved ETL/ELT processes and data cleansing.
• Partner with business stakeholders and Data & Analytics teams across Danaher operating companies to translate requirements into technical specifications and unify data from disparate systems.
• Ensure all data engineering solutions align with enterprise governance, security, and compliance standards, including data privacy and access controls.

Benefits

• Comprehensive, competitive benefit programs including paid time off, medical/dental/vision insurance, and 401(k).
• Bonus/incentive pay eligibility.
• Flexible, remote working arrangements for eligible roles.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree