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Databricks Data Engineer

  • Texas, Spring

  • 06/22/2026

  • Contract

  • Active

Job Description:

  • Job Summary
    The Databricks Data Engineer will be responsible for designing, developing, and maintaining data ingestion and transformation pipelines within a Databricks Lakehouse environment. This role focuses on integrating data from multiple source systems, implementing scalable data architectures, and preparing high-quality datasets for downstream analytics and reporting. The ideal candidate will have strong experience with Databricks, Spark, Python, SQL, and modern data engineering practices.

    Key Responsibilities
    • Develop and maintain data ingestion pipelines that integrate data from multiple source systems.
    • Design, build, and optimize ETL/ELT pipelines using Databricks, PySpark, and SQL.
    • Implement and support Medallion Architecture layers, including Bronze, Silver, and Gold data models.
    • Ensure data quality, validation, and consistency across data pipelines and datasets.
    • Monitor, troubleshoot, and resolve data pipeline execution issues.
    • Optimize pipeline performance, scalability, and reliability to support enterprise data workloads.
    • Work with structured and semi-structured data formats from diverse source systems.
    • Support data transformation, cleansing, enrichment, and integration activities.
    • Collaborate with data analysts, data scientists, and business stakeholders to support analytics requirements.
    • Maintain technical documentation related to data pipelines, architectures, and processes.
    • Follow data engineering best practices for performance, security, governance, and operational support.
    • Participate in code reviews, testing, and continuous improvement initiatives.

    Required Qualifications
    • 6+ years of experience in Data Engineering.
    • Hands-on experience with Databricks and Apache Spark.
    • Strong programming experience with Python.
    • Strong SQL development and query optimization skills.
    • Experience designing, developing, and maintaining ETL/ELT pipelines.
    • Experience implementing and supporting Delta Lake architectures.
    • Understanding of distributed data processing systems and large-scale data platforms.
    • Experience working with structured and semi-structured data formats.
    • Strong troubleshooting, performance tuning, and problem-solving skills.
    • Experience monitoring and supporting production data pipelines.
    • Ability to work effectively in a collaborative team environment.
    • Strong communication and documentation skills.

    Preferred Qualifications
    • Experience implementing Medallion Architecture (Bronze, Silver, Gold) within Databricks environments.
    • Experience working with cloud-based data platforms and modern data lake architectures.
    • Experience supporting enterprise analytics, reporting, and business intelligence initiatives.
    • Knowledge of data governance, data quality, and data lifecycle management best practices.
    • Experience working in Agile development environments.

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