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# Senior Databricks Data Engineer

- **Company:** SGN GLOBAL TECHNOLOGIES, LLC
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $162,240.0 - $176,800.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, DevOps, Dimensional Modeling, Python (Programming Language), SQL Databases, Apache Spark, Data Lakes, Git Flow, Information Technology, Star Schema, Data Pipelines, Databricks
- **Published:** July 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3222afb4ee09c835

## About the Role

12+ years of overall IT experience.

8+ years of hands-on experience with Databricks.

Strong experience building and optimizing ETL/ELT pipelines using Apache Spark.

Expertise in Azure Databricks and Lakehouse architecture.

Experience with Delta Lake and Medallion Architecture (Bronze, Silver, Gold).

Experience with Lakeflow Declarative Pipelines (DLT).

Experience with Lakeflow Jobs / Databricks Workflows or Apache Airflow.

Strong knowledge of Data Warehousing and Dimensional Modeling (Star/Snowflake Schemas).

8+ years of SQL and Python (Scala is a plus).

Experience developing Databricks SQL Dashboards and Databricks Apps.

Strong understanding of Data Governance, Data Quality, and Data Security.

Excellent communication and stakeholder management skills.

Experience with CI/CD pipelines, DevOps, and Git-based workflows.

Databricks Certified Data Engineer (Associate/Professional) - Mandatory.

## Description

Design, develop, and optimize scalable data engineering solutions using Azure Databricks.

Build and maintain enterprise ETL/ELT pipelines using Apache Spark.

Implement Lakehouse architecture using Delta Lake and Medallion Architecture.

Develop and manage Lakeflow Declarative Pipelines (DLT).

Build Databricks SQL Dashboards and Databricks Apps.

Implement data governance, quality, validation, and security frameworks.

Optimize workload performance, monitoring, and operational efficiency.

Collaborate with technical and business stakeholders to deliver enterprise analytics solutions.


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