Senior Databricks / SQL Engineer

Job Title: Senior Databricks / SQL Engineer
Location: Dallas, TX,
Duration: Long Term Contract

Project Description

This role involves designing, building, and supporting modern analytics and data engineering solutions that enable data-driven decision-making. You will work closely with source application teams and product owners to deliver scalable, reliable, and secure data platforms using Azure cloud technologies. The position covers the full data engineering lifecycle, including ingestion, transformation, modeling, deployment, and production support, within a DevOps-driven environment.

Responsibilities

• Collaborate with source data application teams and product owners to design, implement, and support analytics solutions that deliver meaningful business insights.
• Design and implement data migration and data engineering solutions using Azure services such as Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, and Azure Databricks, along with traditional data warehouse tools.
• Participate across the full development lifecycle, including solution design, cloud engineering (infrastructure, networking, security, and administration), data ingestion, preparation, modeling, testing, CI/CD pipelines, performance tuning, deployments, BI consumption, alerting, and production support.
• Build and maintain batch and streaming data pipelines using cloud-native technologies.
• Provide technical leadership within the team while also being capable of working independently on complex tasks.
• Operate as part of a DevOps team that fully owns, supports, and continuously improves its data products.
• Ensure adherence to coding standards, best practices, and organizational privacy and security guidelines.

Skills

Must Have

• Strong hands-on experience with Azure Databricks, SQL, Python, and cloud engineering concepts.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
• 3 to 5+ years of experience in software development using Agile and DevOps methodologies, building large-scale applications or data engineering solutions.
• 3 to 5+ years of data analytics experience using SQL and working with data platforms such as Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer.
• 3 to 5+ years of cloud-based data engineering and data lake experience, primarily on Microsoft Azure, including services like Event Hub, Azure Data Factory, Databricks, Blob Storage, Power BI, and Azure Functions.

Nice to Have

• Prior experience working in the Airline industry.