Senior Data Platform Automation Engineer - USA Remote

Posted Yesterday
Hiring Remotely in USA
Remote
135K-150K Annually
Senior level
Healthtech
The Role
Build and operate Danaher’s enterprise data platform automation and reliability layer. Responsibilities include Infrastructure-as-Code, CI/CD, self-service developer enablement, data platform provisioning, observability, SLOs, auto-remediation, FinOps, compliance guardrails, and event-driven operations across Snowflake, Azure, Matillion, dbt, and Airflow. The role also develops AI-driven operators and copilots using Azure AI Foundry, Anthropic Claude, and related agent frameworks.
Summary Generated by Built In

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 60,000+ 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 Senior Data Platform Automation Engineer engineers the automation, developer experience, and reliability layer of Danaher’s Enterprise Data Platform (Snowflake, Matillion, dbt, Airflow, Azure). This role treats the platform as code — delivering IaC, CI/CD, self-service golden paths, observability and auto-remediation, FinOps and compliance guardrails, and agentic AI operators using Azure AI Foundry and Anthropic Claude. 

This position reports to the Director – Data Platform and Operations and is part of the Enterprise Data Engineering team located in United States (Remote) and will be fully remote. 

 

In this role, you will have the opportunity to: 

  • Design, deploy, and manage Infrastructure-as-Code (IaC) solutions using Terraform/Pulumi for Snowflake, Azure, Matillion, and Airflow, including reusable golden-path modules, automated provisioning, drift detection, onboarding, access management, and self-service developer enablement through ServiceNow catalogs and “data product in a box” templates.

  • Build and maintain enterprise CI/CD capabilities for Snowflake objects, dbt, Matillion, and Airflow using GitHub Actions/GitLab, incorporating automated testing, environment promotion, deployment governance, rollback capabilities, and platform standardization.

  • Automate and optimize data platform operations through event-driven workflows, schema-drift detection, idempotent replay, backfill processing, controlled reprocessing, provisioning automation, and end-to-end operational reliability across the data ecosystem.

  • Develop and implement AI-driven platform operations and developer enablement solutions using Azure AI Foundry, Anthropic Claude, LangGraph, and/or Semantic Kernel to support L1 incident triage, self-healing workflows, cost optimization, developer copilots, governance guardrails, and model evaluation frameworks.

  • Establish platform observability, reliability, and operational excellence through unified telemetry, monitoring, SLO management, runbook-as-code practices, auto-remediation capabilities, and continuous reduction of mean time to resolution (MTTR) using Azure Monitor and Log Analytics.

 

The essential requirements of the job include: 

  • 7+ years in data engineering, DataOps, DevOps/SRE, or platform engineering, with 4+ years automating cloud data platforms. 
  • Hands-on across the modern data stack — Snowflake, Matillion, dbt, and Apache Airflow — with proven ability to automate ingestion, orchestration, and transformation. 
  • Proven IaC and CI/CD experience using Terraform or Pulumi and GitHub Actions or GitLab; strong Python skills. 
  • Hands-on with LLM/agent applications using Azure AI Foundry (Azure OpenAI, Prompt Flow), Snowflake Cortex, Anthropic Claude, OpenAI, or open-source frameworks (LangGraph, AutoGen); familiar with RAG, tool calling, and multi-agent orchestration. 
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline (or equivalent experience). 

 

Travel, Motor Vehicle Record & Physical/Environment Requirements: 

  • Ability to travel up to 10% domestically and occasionally internationally. 

 

It would be a plus if you also possess previous experience in: 

  • Experience building Internal developer platforms, AI workflows, agents, data apps, chatbots. 

  • Certifications: AI-102, DP-203, HashiCorp Terraform Associate, or SnowPro Core/Advanced. 

 

Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. 

 

At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, hybrid working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. Additional information about the working arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide. 

The annual salary range for this role is $135,000 - $150,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. 

This job is also eligible for bonus/incentive pay. 

We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. 

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.


Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law.


The U.S. EEO posters are available here.


For candidates who are based outside of New York City or who are applying for roles outside of New York City, for more information about conditions of any job offer please click here


We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or [email protected].

Skills Required

  • 7+ years of experience in data engineering, DataOps, DevOps/SRE, or platform engineering, including 4+ years automating cloud data platforms
  • Hands-on experience with Snowflake, Matillion, dbt, and Apache Airflow
  • Experience automating data ingestion, orchestration, and transformation
  • Infrastructure-as-Code experience using Terraform or Pulumi
  • CI/CD experience using GitHub Actions or GitLab
  • Strong Python skills
  • Hands-on experience developing LLM or agent applications using Azure AI Foundry, Azure OpenAI, Snowflake Cortex, Anthropic Claude, OpenAI, LangGraph, AutoGen, or similar technologies
  • Familiarity with RAG, tool calling, and multi-agent orchestration
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent experience
  • Experience building internal developer platforms, AI workflows, agents, data applications, or chatbots
  • AI-102, DP-203, HashiCorp Terraform Associate, or SnowPro Core/Advanced certification

Danaher Corporation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Danaher Corporation and has not been reviewed or approved by Danaher Corporation.

  • Healthcare Strength Healthcare coverage is described as comprehensive, including medical plan options alongside dental, vision, life, disability, and mental health support. Wellness initiatives and support programs such as an EAP and vaccination or fitness offerings add breadth beyond core insurance.
  • Retirement Support Retirement benefits include a 401(k) plan with employer matching and options such as pre-tax and Roth contributions. Broader financial rewards such as performance bonuses and access to equity or an employee stock purchase plan are also described.
  • Parental & Family Support Parental leave and family-building support are described as available, including maternity and paternity leave and fertility assistance. Childcare and eldercare support are also highlighted as part of the overall package.

Danaher Corporation Insights

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The Company
HQ: Washington , DC
57,802 Employees
Year Founded: 1984

What We Do

Danaher is a global science and technology innovator committed to helping our customers solve complex challenges and improve quality of life around the world. A global network of more than 25 operating companies, we drive meaningful innovation in some of today’s most dynamic industries through our operating companies in four strategic platforms: Life Sciences, Diagnostics, Water Quality and Product Identification. The engine at the heart of our success is the Danaher Business System (DBS), a set of tools that enables continuous improvement around lean, growth and leadership. Through the ingenuity of our people, the power of DBS and the impact of our meaningful technologies, we help realize life’s potential in ourselves and for those we serve.

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