Data Engineer

Radiology is the second most used healthcare service, used by over 51% of the workforce annually. Despite the critical role of radiology in healthcare, the process for undergoing a medical imaging exam has remained unchanged for decades. One Imaging is solving this with a concierge approach and a premium-quality radiology network of over 4,000 vetted providers across 48 states, which also reduces imaging costs by 60-80%.

Our solution helps patients and families access essential radiology services at fair prices and without surprise bills, all while delivering immediate savings and ROI for employers and payers on every exam.

We are seeking a Data Engineer to join our dynamic team. The ideal candidate is an enthusiastic problem-solver who excels at building scalable data systems and has hands‑on experience with Databricks, Looker, AWS, Mongo

DB, Postgre

SQL, and Terraform. You will work alongside sales, customer success and engineering to design, implement, and maintain the operational data infrastructure that powers our analytics and platform offerings.

What you’ll do:

• Design, build, and maintain end‑to‑end data pipelines using Databricks (Spark
  
  SQL, PySpark) for data ingestion, transformation, and processing.
• Integrate data from various structured and unstructured sources, including medical imaging systems, EMRs, Change‑Data‑Capture from SQL Databases, and external APIs.

• Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.
• Implement best practices in data modeling and visualization for operational efficiency.

• Deploy and manage cloud‑based solutions on AWS (e.g., S3, EMR, Lambda, EC2) to ensure scalability, availability, and cost‑efficiency using IaC tooling (Terraform and Databricks Asset Bundles).
• Develop and maintain CI/CD pipelines for data‑related services and applications.

• Oversee Mongo
  
  DB and Postgre
  
  SQL databases, including schema design, indexing, and performance tuning.
• Ensure data integrity, availability, and optimized querying for both transactional and analytical workloads.

• Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and security.
• Implement error handling, logging, and monitoring frameworks to ensure reliability and transparency.
• Implement data governance frameworks to maintain data integrity and confidentiality.

• Work cross‑functionally with data scientists, product managers, and other engineering teams to gather requirements and define data workflows.
• Document data pipelines, system architecture, and processes for internal and external stakeholders.

• Education & Experience
  • 3+ years of professional experience in data engineering or a similar role.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Technical Skills
  • Databricks (Spark): Proven expertise in building large‑scale data pipelines.
  • Looker: Experience in creating dashboards, data models, and self‑service analytics solutions.
  • AWS: Proficient with core services like S3, EMR, Lambda, IAM, EC2, etc.
  • Mongo
    
    DB & Postgre
    
    SQL: Demonstrated ability to design schemas, optimize queries, and manage high‑volume databases.
  • SQL & Scripting: Strong SQL skills, plus familiarity with Python, Scala, or Java for data‑related tasks.
• Soft Skills
  • Excellent communication and team collaboration abilities.
  • Strong problem‑solving aptitude and analytical thinking.
  • Detail‑oriented, with a focus on delivering reliable, high‑quality solutions.
• Preferred
  • Experience in healthcare or imaging (e.g., DICOM, HL7/FHIR).
  • Familiarity with Dev Ops tools (Docker, Kubernetes, Terraform) and CI/CD pipelines.
  • Knowledge of machine learning workflows and MLOps practices.

The base salary range for this position is $120,000 - $180,000. Individual compensation will depend on various factors, including qualifications, skills, experience, location, and applicable laws. In addition to base salary, this role is eligible to participate in our equity incentive and competitive benefits plans.

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