Data Engineer, Databricks, Python, Azure

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

    Job Description:
  • Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python.
  • Build and optimize ETL/ELT processes within Azure cloud environments.
  • Implement data models following modern Data Lakehouse principles (e.g., Medallion architecture).
  • Ensure data quality, consistency, and performance across ingestion, staging, and curated layers.
  • Collaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into technical solutions.
  • Develop reusable data transformation logic and modular processing components.
  • Support deployment processes following CI/CD and DevOps best practices.
  • Monitor and optimize data workflows for performance, scalability, and reliability.
  • Contribute to data governance, security, and compliance practices relevant to healthcare environments.
    Requirements:
  • Current knowledge of an using modern data tools like (Databricks, FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes
  • Applied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes
  • Applied experience in SQL, Stored Procedures, and Pyspark based on area of data platform specialization.
  • Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, Aurora or a comparable engine.
  • Strong experience with batch and streaming data processing techniques and file compactization strategies.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in cross-functional and distributed teams.
  • Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Proactive mindset with a strong sense of ownership.
  • Commitment to delivering high-quality, reliable data solutions.
    Benefits:
  • Allata is an equal opportunity employer
  • We celebrate diversity and are committed to creating an inclusive environment for all employees

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