Pay
In line with similar jobs
$120K–$180K against $127K–$190K, the middle half of what similar US postings state.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
- Pay
$120,000–180,000/year · BaseAnnual period assumed — pay source
Knowledge of machine learning workflows and MLOps practices. The base salary range for this position is $120,000 - $180,000. Our job postings cover multiple career levels and 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:
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and maintain end-to-end data pipelines in Databricks (SparkSQL, PySpark)
Integrate structured and unstructured sources such as imaging systems, EMRs and external APIs
Oversee MongoDB and PostgreSQL schema design, indexing and performance tuning
From the employer’s posting
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.
Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning.
What you’ll bring
All qualificationsCore experience
- 7+ years of professional experience in data engineering or a similar role.
- SQL & Scripting: Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks.
- Excellent communication and team collaboration abilities.
- Experience in healthcare or imaging (e.g., DICOM, HL7/FHIR).
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines.
Qualification wording
7+ years of professional experience in data engineering or a similar role.
SQL & Scripting: Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks.
Excellent communication and team collaboration abilities.
Experience in healthcare or imaging (e.g., DICOM, HL7/FHIR).
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Familiarity with DevOps tools (Docker, Kubernetes, Terraform) and CI/CD pipelines.
Education & alternatives
- 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
Posting record
Report an errorOpen 7 monthsWe first saw this posting 213 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 15, 2026213 days ago
- Recorded sightings
- 148
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Mar 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 213
Up longer than most. Similar jobs usually come down between day 6 and day 56.
From 13,745 similar postings that came down. Coming down is not always a hire.
OneImaging is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- Scala
- SQL
- AWS
- Databricks
- Docker
- Kubernetes
- Looker
- MongoDB
- PostgreSQL
- S3
- Spark
- Terraform
- PySpark
Where the posting names them
- 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
- 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
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 5,000 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:
- 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.
- 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.
- 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.
- Technical Skills - Databricks (Spark): Proven expertise in building large-scale data pipelines. - Looker: Experience in creating dashboards, data models, and self-service analytics solutions.
- 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.
- 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.
- 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.
- 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.
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 5,000 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. Our job postings cover multiple career levels and 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 candidateprotection@oneimaging.com.
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 talent@oneimaging.com.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Knowledge of machine learning workflows and MLOps practices. The base salary range for this position is $120,000 - $180,000. Our job postings cover multiple career levels and 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:
- Location & working pattern
Miami
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.