Data Engineer

Summary

Aivra Health helps healthcare providers manage medical revenue cycle operations, including billing, compliance, and payment processes. The company is seeking a Data Engineer to build and maintain scalable data pipelines, data infrastructure, databases, and warehouses while ensuring data quality and collaborating with technical and business teams.

Responsibilities

• Build and maintain scalable ETL/ELT pipelines
• Develop data ingestion and transformation workflows
• Design and optimize databases and data warehouses
• Process and analyze large datasets
• Ensure data quality, reliability, and security
• Integrate data from multiple sources and APIs
• Monitor and troubleshoot data pipelines
• Collaborate with Data Scientists, Software Engineers, and Business teams
• Implement automated data workflows and documentation

Skills

• * **Python**
• * **SQL**
• * ETL / ELT
• * Data Pipelines
• * Data Warehousing
• * **Apache Spark / PySpark**
• * **AWS / Azure / Google Cloud Platform**
• * Git / GitHub
• * Database fundamentals
• * Data Modeling
• * REST APIs
• Master's degree in **Computer Science, Data Engineering, Information Technology, Data Science**, or a related technical field
• * s and candidates with **1–3 years of experience**
• * Currently **living in the USA**
• * Relevant data/technology experience through internships, projects, or professional work
• * Valid US work authorization, where required(F1-OPT/STEM-OPT/H1-B)
• * **Open to Work / actively seeking opportunities.**
• * **Airflow**
• * Databricks
• * Snowflake
• * Kafka
• * AWS S3 / Redshift / Glue
• * Azure Data Factory
• * BigQuery
• * Docker / Kubernetes
• * Terraform
• * CI/CD
• * dbt
• * NoSQL / MongoDB

Qualifications

Must Haves

• * **Python**
• * **SQL**
• * ETL / ELT
• * Data Pipelines
• * Data Warehousing
• * **Apache Spark / PySpark**
• * **AWS / Azure / Google Cloud Platform**
• * Git / GitHub
• * Database fundamentals
• * Data Modeling
• * REST APIs
• Master's degree in **Computer Science, Data Engineering, Information Technology, Data Science**, or a related technical field
• * s and candidates with **1–3 years of experience**
• * Currently **living in the USA**
• * Relevant data/technology experience through internships, projects, or professional work
• * Valid US work authorization, where required(F1-OPT/STEM-OPT/H1-B)
• * **Open to Work / actively seeking opportunities.**

Nice to Haves

• * **Airflow**
• * Databricks
• * Snowflake
• * Kafka
• * AWS S3 / Redshift / Glue
• * Azure Data Factory
• * BigQuery
• * Docker / Kubernetes
• * Terraform
• * CI/CD
• * dbt
• * NoSQL / MongoDB

Benefits

• Remote / Hybrid / On-site work arrangement