Data Engineer
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Job Description
Data Engineer responsible for building scalable data systems for OneImaging's analytics platform. Designing data pipelines, managing databases, and collaborating with cross-functional teams for operational data infrastructure.
Responsibilities:
- 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.
- Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.
- 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).
- Oversee MongoDB and PostgreSQL databases, including schema design, indexing, and performance tuning.
- Adhere to healthcare compliance requirements (e.g., HIPAA) and best practices for data privacy and security.
- Work cross-functionally with data scientists, product managers, and other engineering teams to gather requirements and define data workflows.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Proven expertise in building large-scale data pipelines.
- Experience in creating dashboards, data models, and self-service analytics solutions.
- Proficient with core AWS services like S3, EMR, Lambda, IAM, EC2, etc.
- Demonstrated ability to design schemas, optimize queries, and manage high-volume databases.
- Strong SQL skills, plus familiarity with Python, Scala, or Java for data-related tasks.
Benefits:
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
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