Top Senior Data Engineer Jobs in Dallas, TX

Design, build, and maintain large-scale data structures, pipelines, and ETL workflows. Integrate data from varied sources, ensure data quality and privacy, collaborate with data science to operationalize models, optimize queries and Hadoop-based systems, and support analytics, reporting, and modernization initiatives.

Design, build, and manage large-scale data structures, ETL pipelines, and data marts to support analytics and data science. Integrate data from varied sources, ensure data quality and accessibility, optimize Hadoop/HDFS workflows, collaborate with data scientists to operationalize models, and recommend tooling and architectures to meet business needs.

Design, build, and maintain large-scale data structures, ETL pipelines, and data models. Integrate data sources, ensure data quality and accessibility, support analytics and Data Science (including MLOps), optimize queries and distributed systems, and recommend tooling and architecture improvements for healthcare-related large-data environments.

Design, build, and manage large-scale data structures, pipelines, and ETL workflows. Develop databases and real-time/offline analytic processing, support data science integration, optimize queries, build data marts and models, ensure data quality and privacy, and recommend tooling and architecture solutions.

Design, build and deliver SAP-originated and non‑SAP data in formats consumable by non‑SAP tools and external B2B partners using SAP BO/Data Services, BW/BI. Support ETL, integration and data delivery processes.

Lead design, build, and optimization of the enterprise data warehouse and production data pipelines. Own platform architecture, integrate legacy systems (AS400), support Power BI semantic models (DAX), implement monitoring, CI/CD and governance, and mentor engineers to transition from consultant-run platforms to an internally managed, scalable data ecosystem.

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.

Design, build, and maintain scalable semantic 360 data models and transformation pipelines. Implement cleansing, enrichment, business rules, KPIs, and scoring algorithms using SQL and Python/Scala. Employ AI coding assistants and modern AI engineering practices to accelerate development while ensuring traceability, data quality, performance, and alignment with product and analytics needs.

The Senior Data Engineer will design and maintain data pipelines, ensuring data reliability and consistent models, while collaborating with stakeholders to improve data practices.

Lead design and implementation of scalable data architectures and pipelines for real-time and batch processing; mentor junior engineers; ensure pipeline reliability, monitoring, security, and governance; collaborate with cross-functional teams and adopt new data technologies.

Lead the data engineering team to design, build, and scale data platforms and pipelines. Set standards, manage projects and technical debt, collaborate with stakeholders, drive adoption of new tools, ensure data governance, and provide technical leadership for complex data issues and real-time architectures.

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.

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

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.