Data Engineer Jobs in Frisco, TX

Design, build, and operate Azure-based data pipelines (batch and near real-time) using Databricks, PySpark, Delta Lake, dbt and Snowflake. Ensure data quality, SLA ownership, CI/CD integration, and leverage AI-assisted tools (Claude/Copilot) to optimize engineering workflows in a telecom environment.

The Lead AI Enterprise Data Engineer will architect scalable data platforms, develop AI solutions, and create real-time dashboards, while overseeing AI model deployment and integration with existing systems.

Design, build, and scale resilient data pipelines and infrastructure on AWS. Own the data ecosystem using Databricks or Snowflake, write production-quality Python and SQL code, collaborate with cross-functional teams, and prepare data for analysis and product use in a fast-moving startup environment.

The Data Engineer II designs, develops, and maintains data integration and analytics solutions, ensuring data quality and accessibility for business stakeholders, while collaborating with teams to meet business needs.

The Data Engineer will design, develop, and implement data solutions, ensuring data integrity and availability, collaborating with stakeholders to meet business analytics needs.

Design, build, and support governed cloud and hybrid Finance data architectures and production data pipelines. Develop transformations, reusable data models, and ingestion from ERP and other sources using SQL, Python, Databricks, and dbt. Implement data quality, monitoring, lineage, and SOX-aware controls. Mentor engineers, collaborate with architects and Finance domain experts, and assist in migration of legacy ETL to modern lakehouse platforms to deliver trusted analytics and compliance-ready data products.

In this role, the Senior Data Engineer designs and implements data architecture for analytics and ML initiatives, develops ETL/ELT pipelines, and ensures data quality and compliance, while mentoring junior team members.