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Data Engineer at OneImaging. 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.. Key Responsibilities. . 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.. . . . Education & Experience. . . Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.. . 3+ years of professional experience in data engineering or a similar role.. . . 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.. . . Company Location: United States.