Data Platform Engineer

March 26

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

💵 $150k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

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Jorie AI

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Jorie AI is a company that revolutionizes the healthcare and finance industries by providing advanced AI-driven solutions. Specializing in revenue cycle management (RCM), Jorie AI leverages robotic process automation and powerful business intelligence tools to streamline financial and healthcare operations, increase profitability, and enhance reporting. Their services include maximizing operational output, managing resources, and structuring seamless flows of critical patient and financial data. Jorie AI focuses on delivering custom automation solutions tailored to clients' objectives to improve patient outcomes, physician satisfaction, and financial margins. The company is known for its innovative use of AI in healthcare claim management and revenue cycle consulting, significantly reducing operational inefficiencies and improving financial performance.

Medical Coding • Hospitals • Physician Groups • Health Systems • EHR/EMR

1001 - 5000 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

💳 Fintech

📋 Description

• We are seeking a talented and experienced Data Platform Engineer to build and scale the infrastructure that powers our enterprise analytics and machine learning capabilities. • This individual will play a critical role in designing, developing, and maintaining the cloud-based architecture and data pipelines that support real-time and near real-time insights across the organization. • You will collaborate with analysts, data scientists, and business teams to ensure the right data is available, secure, and actionable, from ingestion through transformation to consumption. • If you are passionate about building systems that turn raw data into powerful business intelligence and machine learning capabilities, we want to hear from you. • Design, implement, and maintain cloud-native data infrastructure to support analytics and machine learning workloads. • Build and optimize real-time and batch data pipelines for ingesting and transforming customer and operational data. • Deploy and manage data lake and data warehouse platforms such as Snowflake, Redshift, BigQuery, or Databricks. • Enable and support machine learning operations (MLOps) including feature stores, model pipelines, and production model serving. • Use infrastructure as code (IaC) tools (e.g., Terraform, CloudFormation) to automate infrastructure provisioning and management. • Implement data quality checks, observability, and lineage tracking across data workflows. • Monitor and ensure performance, security, and scalability of the data platform. • Collaborate with cross-functional teams to understand data requirements and deliver scalable, efficient solutions.

🎯 Requirements

• 5+ years in Data Engineering, Cloud Infrastructure, or similar roles focused on data platforms. • Deep experience with at least one cloud platform (AWS, Azure, GCP), including computer, storage, and data services. • Strong skills in SQL and Python for data processing and automation. • Proficiency in data pipeline tools (e.g., Apache, Airflow, dbt, Kafka, Spark, Flink). • Experience with streaming data processing and real-time analytics use cases. • Hands-on experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation). • Familiarity with containerization and orchestration (Docker, Kubernetes). • Understanding of data governance, access control, encryption and compliance best practices (e.g., HIPAA, SOC2). • Experience supporting machine learning or working alongside data science teams.

🏖️ Benefits

• 401(k) matching up to 4% • Health • Dental • Vision • Long/Short Term Disability insurance • Life insurance Paid by employer • PTO 2 weeks first year and increases 2nd year • 10 and half Holidays