Top Data Engineer Jobs in Dallas, TX

As a Data Engineer II at USAA, you'll manage the data lifecycle, develop data pipeline code, and collaborate with senior engineers. Responsibilities include designing, testing, and deploying data solutions, assisting in technical implementations, participating in Agile ceremonies, and helping onboard entry-level engineers.

The Software Engineer Sr. at PNC develops and designs software solutions, maintaining close customer interactions to guide project direction. The role involves creating strategic visions, technical documentación, writing code, testing, and deploying software, while also managing associated risks.

As a Senior Data Engineer at Capital One, you will design, develop, and support technical solutions while collaborating with Agile teams. You'll work with a range of technologies including Python, AWS, and Spark, and engage in mentoring, experimentation, and performance testing, driving transformational projects that enhance customer experiences.

The Data Engineer II role involves gathering and analyzing data management requirements, developing systems for data reporting, and implementing technical solutions. Responsibilities include data pipeline engineering, testing, deployment, and participating in Agile ceremonies. The position requires collaboration with senior team members and a growing familiarity with best practices in data management.

The Lead Cloud Data Engineer will design and implement end-to-end solutions in Azure Enterprise Data Lake, optimize data pipelines, and ensure the performance and security of large-scale data processing systems. This role will collaborate with architects and stakeholders, lead cloud platform design decisions, manage ETL processes and maintain data quality.

The Data Engineer will collaborate on enterprise data projects, focusing on building data pipelines and developing data-driven solutions. Responsibilities include designing data architectures, deploying processing modules using SQL and Pyspark, and optimizing data flows across various platforms like Databricks and Azure Data Fabric.

The Senior Data Engineer will design and build scalable, fault-tolerant streaming data platforms, creating distributed data pipelines and analytics data stores. The role involves collaborating with Agile teams, leveraging big data technologies, and developing robust cloud-based solutions. Responsible for ensuring code quality through unit testing and code reviews.

The Data Engineer is responsible for developing and maintaining data technologies, data pipelines, and cloud-based solutions within the organization. This role involves collaborating with teams to drive tax decisions and enhance user experiences while ensuring data security and scalability.

As a Principal Data Engineer, you will design and build data ingestion pipelines, conceptualize high-performance data processing, and collaborate with multiple teams to deliver analytical solutions using Azure and big data technologies. You will also ensure the quality and scalability of your code while engaging with stakeholders across the organization.

The Data Engineer will architect, design, and implement advanced analytics capabilities while building and deploying large-scale data processing pipelines. Responsibilities include optimizing complex data processing and transformation pipelines, creating self-service dashboards, and collaborating with cross-functional teams to generate insights that drive business value.

The Data Engineer role at Dynatron Software involves creating and managing data pipelines and ensuring data quality within the company's SaaS and DaaS products. Responsibilities include leading data architecture initiatives using Snowflake, developing ETL processes, collaborating with cross-functional teams, and addressing data quality issues.

As a Cloud Data Engineer, you will build distributed data pipelines and workflows, manage large data sets, and improve data processing and usability, along with providing technical guidance and support to clients.

The Principal Data Engineer is responsible for leading the design and implementation of scalable data architecture and pipelines for a casino management system. This role includes developing data ingestion processes, managing data integration from various sources, ensuring compliance with data regulations, and optimizing data performance while mentoring engineering teams.

The Senior Data Engineer role involves designing and developing data pipelines using Python and Spark within AWS environments. Responsibilities include collaborating with Agile teams, working on data orchestration, implementing cloud-based solutions, performing unit tests, and mentoring team members in technology trends and best practices.

The Data Engineer II collaborates with senior engineers and project managers to enhance data quality and automate processing systems. Responsibilities include data analysis, normalizing property assessment data, managing project timelines, and utilizing SQL and Python for data manipulation and extraction. The role focuses on ensuring accurate data delivery to clients while promoting teamwork and communication.

The Data Engineer develops and maintains complex data solutions, creating data pipelines in AWS, optimizing ETL processes, ensuring data quality and governance, troubleshooting data issues, and documenting solutions. This role requires collaboration with cross-functional teams and a strong understanding of data engineering technologies.

As a Lead Data Engineer at Capital One, you'll collaborate with Agile teams to develop technical solutions in a full-stack development environment, leverage machine learning and distributed microservices, and implement cloud-based data solutions while mentoring other engineers.