Data Engineer Jobs in Irving, TX

The role involves designing, developing, deploying, and maintaining secure and efficient data platform infrastructure, enabling product teams to manage software delivery. Responsibilities include on-call support, automation, and collaboration with cross-functional teams.

As a Staff Data Lake Engineer, lead the development of an enterprise data platform, mentor junior engineers, and ensure technical execution in data architecture and strategy while collaborating across teams.

As a Lead Data Engineer, you will design and deliver scalable data solutions, manage data infrastructures, and collaborate with teams to implement data-driven strategies.

The Software Data Operations Engineer will analyze and improve systems, develop specifications, verify implementations, and participate in training within a collaborative engineering environment.

The Lead Data Engineer will design, develop, and deploy data pipelines and architectures for enterprise data challenges using tools like Databricks and SQL.

Lead the design, development, and maintenance of scalable data pipelines on AWS, collaborating with teams to support analytics and reporting.

The role involves data analysis, modeling, and advanced analytics to support business decisions by designing predictive models and automating processes through AI and machine learning.

Lead the Data Visualization Team by managing BI tools like Tableau and Power BI, collaborating with teams, and supporting business users with report development and production issue resolution.

The Data Integration Engineer will build and maintain data transformation mappings, manage data flow processes, and collaborate with teams on system improvements.

The Sr. Data Engineer develops and manages data structures and ETL workflows, collaborates with Data Science, and improves systems for analytics.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

As a Senior Engineer, you will build scalable data solutions, lead design sessions, and mentor engineers while driving innovation in data analytics.

The Sr Data Engineer will design data pipelines, collaborate on ETL projects, implement data quality checks, and document engineering processes.

Design and develop scalable ETL/ELT pipelines and data processing systems using GCP, mentor junior engineers, and manage complex datasets for CVS healthcare solutions.

Lead the design and implementation of data pipelines using Microsoft Fabric, create data models for diverse analytics needs, ensure data governance, and collaborate with cross-functional teams for reliable data products.

The role involves designing and building scalable systems, engaging in collaboration across software lifecycle, and driving innovation using diverse technologies.

Lead Data Engineer responsible for shaping the Snowflake platform architecture, mentoring data engineers, and optimizing data solutions. Responsibilities include managing Agile delivery, implementing ELT pipelines, ensuring data quality, and applying security protocols while facilitating communication with stakeholders.

Lead the design and development of enterprise data pipelines on AWS, guiding a team of engineers while ensuring data quality and security.

The Staff Data Platform Engineer will architect and build AWS-based data solutions, leading teams to enhance data pipelines, ensuring performance and scalability while collaborating with analytics and executive teams on strategic initiatives.

The Lead Data Engineer/Architect designs and implements GCP solutions, focusing on data pipelines, architecture, and leadership in a client-facing role.

The Applied AI and Data Sciences Engineer develops, manages, and enhances AI tools and data sciences solutions, collaborating with IT and vendors to implement projects successfully.

As a Senior Data Engineer, you'll design and maintain data pipelines, ensuring data integrity while optimizing performance and collaborating with teams to deliver data-driven solutions.

The Big Data Systems Engineer will deploy and integrate the CHEETAS system in DoD environments, collaborate with technical teams, and resolve deployment issues.

Design, build, and maintain data pipelines while ensuring data quality and collaboration with data teams. Troubleshoot issues and improve performance.

The Sr. Data Engineer role involves developing data architecture, optimizing data processing, and collaborating across teams to enhance data utilization and governance with a focus on AI-driven solutions.