This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer based in the United States.
This role offers the opportunity to build the technical foundation behind AI-powered healthcare solutions that improve patient care and operational efficiency. You will work at the intersection of data engineering, artificial intelligence, and healthcare technology, helping organizations transform complex data into actionable insights. As a forward-deployed technical specialist, you will design scalable data pipelines, solve challenging integration problems, and collaborate directly with healthcare partners. The position combines hands-on engineering, technical consulting, and innovation in a fast-moving environment. You will work with modern cloud technologies while helping shape the future of AI adoption in healthcare. This is an ideal opportunity for a builder who enjoys solving complex problems, taking ownership, and delivering meaningful impact.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer based in the United States.
This role offers the opportunity to build the technical foundation behind AI-powered healthcare solutions that improve patient care and operational efficiency. You will work at the intersection of data engineering, artificial intelligence, and healthcare technology, helping organizations transform complex data into actionable insights. As a forward-deployed technical specialist, you will design scalable data pipelines, solve challenging integration problems, and collaborate directly with healthcare partners. The position combines hands-on engineering, technical consulting, and innovation in a fast-moving environment. You will work with modern cloud technologies while helping shape the future of AI adoption in healthcare. This is an ideal opportunity for a builder who enjoys solving complex problems, taking ownership, and delivering meaningful impact.
Accountabilities
- Design and develop ETL pipelines using PySpark, SQL, and cloud data services to process healthcare data from multiple sources.
- Build scalable data transformation workflows that convert raw healthcare data into production-ready datasets supporting AI applications.
- Perform data extraction, transformation, validation, and quality assurance activities to ensure accuracy and reliability.
- Develop data quality frameworks, validation rules, and monitoring processes to identify and resolve integration issues.
- Troubleshoot complex technical challenges, including schema mismatches, transformation errors, and performance bottlenecks.
- Create reusable data components, integration patterns, and technical documentation to improve future implementations.
- Optimize pipeline performance for large-scale healthcare datasets while ensuring efficient resource utilization.
- Support production deployments by coordinating testing, validation, and technical readiness with infrastructure teams.
- Leverage AI-assisted development tools to accelerate engineering workflows and improve solution quality.
- Act as a technical advisor to healthcare partners, translating complex data and AI concepts into practical recommendations.
- Collaborate with internal teams and partner stakeholders to define technical requirements, data mappings, and architecture decisions.
- Communicate technical findings clearly to both technical and non-technical audiences.
- Support product innovation by developing prototypes, proof-of-concept integrations, and new AI-powered capabilities.
- Contribute insights from partner implementations to improve products, processes, and technical standards.
- 5+ years of experience in data engineering, data analytics, solution delivery, or related technical roles with strong ETL expertise.
- Advanced proficiency in PySpark, SQL, and data transformation techniques.
- Experience building and maintaining production-grade data pipelines with monitoring, error handling, and validation processes.
- Hands-on experience with Azure cloud technologies, including Azure Databricks, Data Factory, Blob Storage, and Delta Lake.
- Strong understanding of data quality practices, testing methodologies, and troubleshooting complex data issues.
- Experience working with modern data architectures, including data warehouses, lakehouses, or scalable cloud-based platforms.
- Strong analytical and problem-solving skills with the ability to independently diagnose technical challenges.
- Consultant mindset with the ability to build trust, communicate effectively, and adapt solutions to different partner environments.
- Strong ownership mentality with accountability for technical quality, delivery outcomes, and continuous improvement.
- Excellent collaboration skills and the ability to work effectively with technical and non-technical stakeholders.
- Bachelor’s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field.
- Experience working with healthcare data sources such as EHR, claims, clinical, laboratory, or imaging data.
- Familiarity with Epic Clarity, healthcare data models, or healthcare system integrations.
- Knowledge of healthcare data standards including FHIR, HL7v2, DICOM, LOINC, SNOMED, or ICD-10.
- Understanding of HIPAA requirements and healthcare data security best practices.
- Experience with Git, CI/CD pipelines, Terraform, or infrastructure-as-code practices.
- Familiarity with data formats such as JSON, XML, Parquet, and CSV.
- Experience optimizing complex data transformations for performance and scale.
- Experience using AI-assisted development tools such as GitHub Copilot, Cursor, or similar solutions.
- Previous experience in forward deployment, solutions engineering, or client-facing technical consulting roles.
- Competitive salary range of $140,000 – $200,000, depending on skills, qualifications, experience, and location.
- Equity package eligibility.
- Medical, dental, and vision insurance.
- Flexible working hours.
- Remote work flexibility and hybrid options where applicable.
- Opportunity to work with cutting-edge AI and healthcare technologies.
- Chance to contribute to solutions that improve patient care and healthcare delivery.
- Fast-growing environment with significant career development opportunities.
- Inclusive culture focused on creativity, collaboration, and innovation.
- Opportunity to work alongside a mission-driven team building transformative healthcare technology.
The Forward Deployed Engineer will serve as a technical implementation specialist and trusted advisor, responsible for designing reliable data solutions, supporting healthcare integrations, and delivering production-ready systems. This role requires strong engineering skills, a consulting mindset, and the ability to operate independently in complex technical environments.
Requirements
The ideal candidate is an experienced data engineer or technical solutions professional with strong expertise in data integration, cloud technologies, and healthcare data environments. You should be comfortable working directly with clients, navigating ambiguity, and delivering reliable solutions from initial design through production deployment.
Preferred Qualifications:
Benefits
The company offers a competitive package designed to support innovation, flexibility, and employee growth while enabling meaningful contributions to healthcare transformation.