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Databricks Data Engineer
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Compunnel, Inc.
Spring, TX (In Person)
Full-Time
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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.