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Data ETL / Data Engineer

  • California, Aliso Viejo

  • 09/01/2026

  • Contract

  • Active

Job Description:

  • Job Summary:
    The Data ETL / Data Engineer will design, develop, test, and maintain scalable data integration and ETL solutions, with a strong focus on SQL, Python, PySpark, data warehousing, and large-scale data processing. The role will work with modern cloud-based data platforms including Databricks, Snowflake, and PostgreSQL, while applying performance optimization, version control, CI/CD practices, and AI-powered development tools to deliver efficient and reliable data solutions in an onsite environment.

    Key Responsibilities:
    • Design, develop, test, and maintain ETL and data pipeline solutions.
    • Build scalable data processing workflows using Python and PySpark.
    • Develop and optimize SQL/PLSQL scripts for data extraction, transformation, and loading.
    • Design and maintain data warehouse architectures and data models.
    • Perform query performance tuning and optimization for large datasets.
    • Develop and support data solutions across Databricks, Snowflake, and PostgreSQL environments.
    • Manage source code repositories using Bitbucket/Git and follow CI/CD best practices.
    • Leverage AI-powered development tools such as GitHub Copilot and Windsurf to improve productivity and code quality.
    • Collaborate with business stakeholders, data analysts, and cross-functional teams to deliver data solutions.
    • Create technical documentation and support production deployments.
    • Develop shell scripts to support data engineering and operational activities as needed.
    • Contribute to AI Agent development and AI-driven data solutions as required.

    Required Qualifications:
    • 5+ years of experience in data ETL and/or data engineering.
    • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
    • Strong experience with ETL development, data integration, and data engineering.
    • Hands-on experience with SQL/T-SQL, PL/SQL, Python, and PySpark.
    • Strong experience with database development, data warehousing concepts, and development.
    • Experience with query performance tuning and optimization.
    • Knowledge of cloud-based data platforms and modern data engineering practices.
    • Experience with Bitbucket/Git and modern version control practices.
    • Experience leveraging AI development tools such as GitHub Copilot or Windsurf.
    • Strong analytical, troubleshooting, and problem-solving skills.

    Preferred Qualifications:
    • Experience with Databricks and Snowflake.
    • Experience with PostgreSQL, including AWS RDS PostgreSQL.
    • Knowledge of AWS cloud services.
    • Experience with shell scripting.
    • Exposure to AI Agent development and Generative AI technologies.
    • Experience working in Agile development environments.

    Notes:
    Mandatory Areas
    Must Have Skills
    Primary Skills
    SQL & PL/SQL Development Python Programming PySpark
    ETL Development and Data Integration
    Data Warehousing Concepts and Development Query
    Performance Tuning and Optimization Bitbucket/Git Version Control
    Experience leveraging AI tools such as GitHub Copilot and Windsurf

    Secondary Skills:
    Databricks Snowflake PostgreSQL (AWS RDS PostgreSQL)
    Developing AI Agents and AI-driven solutions Shell Scripting

    Domain Experience (If any) – Good to have healthcare experience
    Must have Certifications – None
    Location - Remote
    Onsite Requirement - Remote
    Number of days onsite - Remote

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