Data Engineer

OneImaging Inc.; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity incentive

Competitive benefits plans

Job summary

A leading radiology concierge service provider is seeking a Data Engineer to enhance their data systems. The role involves designing and maintaining data pipelines using Databricks, collaborating on dashboard projects in Looker, and managing cloud solutions on AWS. Ideal candidates will have at least 7 years of experience and a degree in Computer Science or Engineering. This position offers a competitive salary range and the chance to contribute to a vital healthcare service.

Qualifications

• 7+ years of professional experience in data engineering or a similar role.
• Proven expertise in building large-scale data pipelines.
• Excellent communication and team collaboration abilities.

Responsibilities

• Design and maintain end-to-end data pipelines using Databricks.
• Collaborate with the analytics team to create and optimize dashboards in Looker.
• Deploy and manage cloud-based solutions on AWS for scalability.

Skills

Databricks (Spark)

Looker

AWS

MongoDB

PostgreSQL

SQL

Python

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Tools

Terraform

Docker

Kubernetes

Job description

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. OneImaging 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, MongoDB, PostgreSQL, 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:

• Data Pipeline & Integration
  • Design, build, and maintain end‑to‑end data pipelines using Databricks (SparkSQL, 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.
• Analytics & Visualization
  • Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.
  • Implement best practices in data modeling and visualization for operational efficiency.
• Cloud Infrastructure
  • 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.
• Database Management
  • Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning.
  • Ensure data integrity, availability, and optimized querying for both transactional and analytical workloads.
• Security & Compliance
  • 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.
• Collaboration & Documentation
  • 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.

About you:

• Education & Experience
  • 7+ 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.
  • MongoDB & PostgreSQL: 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 DevOps 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.

Fraud and Security Notice:

Please be aware of recent job scam attempts. Our team uses the oneimaging.com email domain exclusively. If you have been contacted by someone claiming to be a OneImaging recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to [e-mail].

Equal Employment Opportunity:

OneImaging is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views, or other applicable legally protected characteristics.

OneImaging is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at [e-mail].