Job Summary:
The Data Engineer designs, builds, and maintains scalable data pipelines and infrastructure to support AI-driven healthcare SaaS applications. This role ensures data integrity, security, and compliance while enabling advanced analytics and machine learning capabilities. The Data Engineer collaborates with cross-functional teams to deliver reliable data solutions that improve clinical and operational outcomes within secure, scalable, and compliant cloud-native environments.
Key Responsibilities:
1. Data Pipeline Development & ETL/ELT Engineering
- Design, build, and optimize robust ETL/ELT pipelines using tools such as Apache Airflow, Talend, Informatica, or dbt.
- Transform raw healthcare data into structured formats for analytics and AI/ML model consumption.
- Ensure data quality, integrity, and reliability throughout the pipeline lifecycle.
2. Cloud-Native Architecture & AI Technologies
- Develop and maintain data infrastructure on cloud platforms (AWS, Azure, GCP).
- Engineer scalable data solutions using Fabric.
- Support real-time and batch data processing for advanced analytics and machine learning workflows.
3. Healthcare Data Standards & Compliance
- Ensure solutions adhere to healthcare data standards (HIPAA, HL7, FHIR) and regulations (GDPR, CCPA).
- Implement secure and compliant data handling practices across systems.
- Stay current with healthcare regulations and data privacy requirements.
4. AI/ML Workflow Support
- Prepare and manage data for AI/ML model development, deployment, and monitoring.
- Support feature engineering, model monitoring, and real-time data streaming for AI/ML initiatives.
- Collaborate with AI/ML engineers and data scientists to enable seamless integration of models into production.
5. Database Management & Optimization
- Manage and optimize relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra, DynamoDB).
- Write complex SQL queries, perform joins, and tune database performance.
- Ensure scalability, reliability, and security of data storage solutions.
6. DataOps, Automation & Continuous Improvement
- Implement DataOps practices and automation for data workflows using Airflow, dbt, and CI/CD pipelines.
- Support streaming and real-time data solutions with Apache Kafka, Spark Streaming, or Flink.
- Commit to continuous improvement and staying current with industry trends and best practices.
7. Collaboration & Communication
- Work closely with product, engineering, clinical, and compliance teams to deliver integrated data solutions.
- Share knowledge and mentor team members on data engineering concepts and tools.
- Communicate effectively to ensure alignment with business and technical goals.
Required Qualifications:
Education & Experience Guidelines
- Bachelor’s Degree in computer science, data science, or other relevant field.
- 5-8 years of relevant work experience
- Experience with cloud platforms, data pipeline tools, and healthcare data standards
- Exposure to AI/ML workflows and real-time analytics is a plus
- Occasional travel may be required.
Other Preferred Knowledge, Skills, Abilities or Certifications:
- Cloud Certifications: AWS Data Analytics, Azure Data Engineer, Google Cloud Data Engineer
- Streaming & Real-Time Data: Apache Kafka, Spark Streaming, Flink
- DataOps & Automation: Airflow, dbt, CI/CD for data workflows
- Security & Compliance: HIPAA, GDPR, CCPA, data encryption
- Advanced Databases: PostgreSQL, MongoDB, Cassandra, DynamoDB
- AI/ML Support: Feature engineering, model monitoring, ML pipeline integration
Fortive 9 Behaviors by Level:
Influencing & Mentoring
Customer Obsessed: Champions a customer-focusedculture by anticipating evolving needs and shaping solutions that deliver long-term value.
Strategic: Drives organizational impact by using data to derive insights that inform near-term and mid-range goals
Innovation for Impact: Influences innovation through demonstrating bold thinking and experimentation in own work and coaching others to do the same.
Inspiring: Demonstrates purpose-driven impact through expertise and collaboration.
Builds Extraordinary Teams: Drives impact through collaboration and influence by fostering trust, sharing expertise, and aligning efforts across teams.
Courageous: Influences and leads by example through action and integrity—moves quickly toward goals, tackles challenges head-on, and encourages open sharing of ideas without fear.
Delivers Results: Leads complex initiatives to successful completion with high standards, precision, and urgency.
Adaptable: Applies rigor and stays true to process while fostering adaptability within the team.
Lead with FBS: Embraces FBS and models lean principles by mentoring peers and influencing teams, and going to Gemba for first-hand insights.
Skills Required
- Bachelor's Degree in computer science, data science, or relevant field
- 5-8 years of relevant work experience
- Experience with cloud platforms and data pipeline tools
- Experience with healthcare data standards
- Exposure to AI/ML workflows and real-time analytics
Fortive Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fortive and has not been reviewed or approved by Fortive.
-
Parental & Family Support — Parental leave is fully paid for 12 weeks for all parents, with fertility coverage via Progyny and generous adoption/surrogacy support. Backup child and adult care plus inclusive eligibility extend support across diverse family structures.
-
Healthcare Strength — Multiple PPO and HSA medical options include telemedicine and second-opinion services, alongside robust mental-health access through Spring Health with no‑cost therapy sessions. The breadth of medical and behavioral health resources is highlighted as a strength.
-
Retirement Support — The 401(k) provides a competitive employer match each pay period, with an additional company retirement contribution after one year of service. Financial wellness tools and an employee stock purchase plan further bolster long‑term savings.
Fortive Insights
What We Do
Fortive’s essential technology makes the world stronger, safer, and smarter. We accelerate transformation across a broad range of applications including environmental, health and safety compliance, industrial condition monitoring, next-generation product design, and healthcare safety solutions. We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in software-powered workflow solutions, data-driven intelligence, AI-powered automation, and other disruptive technologies. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to groundbreaking sustainability solutions. We are a diverse team 18,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact. At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference. At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone. At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating. Fortive: For you, for us, for growth.
