[Hiring] Lead Data Engineer @Imagen Technologies

Role Description

We’re looking for an experienced Lead Data Engineer to join our team and spearhead the evolution of our AI Data Platform. This internally developed platform is the backbone of our AI development, which has resulted in 6 FDA-cleared AI products aimed at reducing turnaround times and diagnostic error rates. The Lead Data Engineer and their team will manage billions of medical images and reports that are foundational data that will drive the development of Imagen's next generation of diagnostic tools.

In this role, you will take ownership of our data infrastructure, leading the technical strategy and development efforts to scale, optimize, and enhance our capabilities. This position is ideal for a hands-on engineer who is passionate about building robust data systems and wants to see their work have a tangible impact on patient outcomes. You'll report to the Head of Engineering and partner closely with Imagen's Chief AI Officer, Product leaders, and engineers to design and ship new software that drives the future of diagnostic imaging.

Responsibilities:

• Architect and Own the AI Data Platform: Take full ownership of the technical roadmap and architecture for our multi-petabyte, multi-cloud data platform.
• Build and Scale Data Pipelines: Design, build, and maintain robust data ingestion, processing, and transformation pipelines for billions of medical images (e.g., DICOM) and clinical reports.
• Evaluate, select, and implement a modern workflow orchestration solution (e.g., Airflow, Prefect, Dagster) to manage our end-to-end data pipelines for medical image processing.
• Champion Data Quality and Governance: Implement and enforce rigorous data quality frameworks, validation checks, and security protocols.
• Lead Technical Strategy and Best Practices: Establish and champion best practices in data engineering, DataOps, and infrastructure management.
• Partner with the AI Team: Serve as the primary technical partner and subject matter expert for our AI and research teams.

Qualifications

• Mission-driven and passionate about building foundational technology to improve healthcare.
• 5+ years of hands-on experience in data engineering or software engineering with a data focus.
• 2+ years of experience in a senior or lead role, with a proven track record of owning technical roadmaps and making significant architectural decisions.
• Expert-level proficiency in Python and a deep understanding of data structures and algorithms.
• Mastery of SQL is also required.
• Deep expertise with at least one major cloud provider (AWS, GCP, Azure) and proven experience designing and managing solutions in a cloud-native environment.
• Hands-on experience with modern data stack technologies, such as:
• Workflow orchestration tools (e.g., Airflow, Prefect, Dagster).
• Large-scale data processing frameworks (e.g., Spark, Dask).
• Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation).
• Containerization technologies (e.g., Docker, Kubernetes).
• Demonstrated experience designing and managing data lakes, data warehouses, or petabyte-scale object storage systems (e.g., S3, GCS).
• BS in Computer Science or a related field, or equivalent real-world experience.

Preferred Qualifications

• Experience working in a multi-cloud environment and managing cross-cloud data transfer and cost optimization.
• Experience with MLOps or building infrastructure that directly supports the machine learning lifecycle.
• Familiarity with healthcare data standards and regulations (e.g., HIPAA, DICOM, FHIR).
• Direct experience engineering solutions for diverse medical imaging modalities (e.g., CT, MR, XR, Ultrasound).
• Experience building systems in a regulated or compliance-heavy industry.

Compensation

The base salary for the position is between $170,000-$190,000, plus equity and benefits. Please note that the range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.

Equal Employment Opportunity

Imagen is committed to the principle of equal employment opportunity for all employees and applicants for employment and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Substance Abuse Policy

Imagen Technologies maintains a Substance Abuse and Testing policy. Being under the influence of alcohol or controlled substances while on the job or while conducting business on Imagen’s behalf is prohibited. Imagen reserves the right to test any applicant or employee for alcohol and/or drug use, subject to compliance with any applicable state and/or federal laws.