Top Data Engineer Jobs in Dallas, TX

The Data Engineer, Specialist designs and maintains scalable data pipelines, builds ETL processes, optimizes data storage, and collaborates with stakeholders to support analytics efforts.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

The role involves designing scalable data infrastructure, developing AI-driven solutions, managing ETL pipelines, and enhancing operational efficiency using data and AI technologies.

The Senior Consultant - Data Engineer will build scalable data systems, manage data pipelines, and enhance data lifecycle processes to drive business decisions.

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

As a Data Engineer, you'll deliver scalable data solutions, participate in technical discussions, and ensure timely, trustworthy data delivery through robust pipelines.

Design, build, and maintain scalable Microsoft Fabric pipelines and lakehouse models, optimize Power BI semantic models and refresh strategies, enforce engineering/SDLC best practices (Git, CI/CD, testing), drive data modeling standards, mentor teammates, communicate technical decisions to non-technical stakeholders, and ensure SLA reliability and observability for client-facing analytics.

Design and build scalable, semantically consistent 360 entity data models and transformation pipelines. Implement cleansing, enrichment, KPIs, scoring, and business rules in SQL and Python/Scala, ensure data quality, lineage, and performance at scale. Use AI coding assistants and SDD to accelerate development, create tests and documentation, and collaborate with domain experts, data scientists, and product teams to deliver trusted, reusable data assets.

The Data Engineer will optimize data infrastructure, modernize SQL processes, support data governance, and mentor team members while enhancing analytics capabilities.

Responsible for designing, building, and maintaining scalable data pipelines and transformation processes, ensuring data quality and collaborating with teams.

The Lead Data Engineer at Lennar will design and implement data engineering solutions, lead the data platform team, and ensure data quality and accessibility for business insights.

The Senior Data Engineer will design, build, and maintain scalable data solutions, conducting feasibility studies, managing the development process, and ensuring high-quality code and compliance with industry standards.

The Senior Data Engineer will design, build, and optimize data infrastructure and pipelines, manage cloud data platforms, and work on AI projects, ensuring high data quality and efficient integration across systems.

The Senior Data Engineer will design and optimize data infrastructure on cloud platforms, manage large-scale data projects, and support AI initiatives. Responsibilities include developing ETL pipelines, implementing data solutions, optimizing performance, and mentoring junior engineers.

The Data Integration & Pipeline Engineer will build and maintain ETL/ELT pipelines, ensuring efficient data flow, quality, and performance across platforms.

The Data Engineer will design and implement data models, build ETL pipelines, and ensure data quality for manufacturing data analytics.

Design and build data pipelines and platforms, ensuring data reliability and scalability for analytics. Collaborate with diverse teams to implement data-driven solutions.

The Data Engineer II will design, build, and maintain data pipelines, ensuring data governance and security. Responsibilities include coding in Python, managing data processing, and collaborating with data teams.

Lead the design, scalability, and reliability of DTCC's Snowflake data platform while driving automation, innovation, and best practices across cloud data engineering with global teams.

The Senior Data Developer Tech Lead will design and manage scalable data solutions within Hadoop, lead streaming data architecture, optimize performance, and integrate AI/ML capabilities, while coaching team members and ensuring best practices in the banking domain.

Lead the design and implementation of Hadoop architecture and real-time data solutions. Coach team members, optimize performance, and ensure data governance within a small agile squad, focusing on AI/ML capabilities.

Design and implement scalable data pipelines, support data ingestion and quality, collaborate on data models, and maintain data exports, contributing to technology improvements.

The Senior Data Engineer will develop and implement IAM solutions, enhance automation for operational efficiency, and leverage cloud-native technologies for data management.

Lead design and delivery of enterprise data platforms using Snowflake and AWS. Architect ELT/CDC pipelines, implement Data Vault 2.0 and dimensional models, optimize Snowflake performance, mentor engineers, partner with stakeholders, and ensure operational reliability and observability for analytics and BI workloads.

The role involves creating and maintaining data pipelines, building analytics tools, developing complex ETL processes, and supporting junior engineers.