Forward Deployed Engineer

About the role

The company is partnering with a leading organization to find a Forward Deployed Engineer based in the United States. This role involves building the technical foundation for AI-powered healthcare solutions that enhance patient care and operational efficiency.

Responsibilities

• Design and develop ETL pipelines using PySpark, SQL, and cloud data services to process healthcare data from various sources.
• Build scalable data transformation workflows to 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.
• Create 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.
• Contribute insights from partner implementations to improve products, processes, and technical standards.

Requirements

• Experienced data engineer or technical solutions professional with strong expertise in data integration, cloud technologies, and healthcare data environments.
• Advanced proficiency in PySpark, SQL, and data transformation techniques.
• Holds 5+ years of experience in data engineering, data analytics, solution delivery, or related technical roles with strong ETL expertise.
• 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.

Preferred Qualifications

• 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.

Benefits

• A 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.