Top Data Engineer Jobs in Dallas, TX

The Data Engineer Senior role involves developing data solutions, leading analysis efforts, and designing data service infrastructures within financial services using various technologies.

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Lead Data Engineer, lead development in actionable technical solutions within Agile teams, utilizing expertise in programming, big data tech, and cloud-based data services.

The Senior Lead Data Engineer will drive major technological transformations, lead development teams, and design innovative data solutions while utilizing cloud services and big data technologies.

As a Lead Data Engineer, you'll design and build scalable data platforms, develop streaming data pipelines, and collaborate within Agile teams to implement data solutions.

As a Lead Data Engineer, you'll lead the design and implementation of scalable data platforms, build distributed streaming data pipelines, and collaborate on technical solutions using big data technologies and agile methodologies.

Design, build, and optimize scalable Databricks/Spark data pipelines and data models for healthcare analytics. Monitor pipeline health, troubleshoot production issues, enforce data quality and governance, and collaborate with product and analytics teams to deliver performant, cost-efficient data solutions.

Consult with business units to design and code data solutions, query and process large datasets, implement technical specifications, perform quality testing, collaborate with stakeholders, and deliver high-quality, deployable analytics within an Agile team.

Design and maintain scalable ETL/ELT pipelines, develop data solutions using Databricks and Snowflake, and collaborate with cross-functional teams to ensure data quality and performance optimization.

The Lead Data Engineer will design, develop, and support complex technical solutions using Java, Python, AWS, and big data technologies. Responsibilities include collaborating with Agile teams, mentoring, and delivering cloud-based solutions.

Build and operate Vanguard's Microsoft Fabric data layer: design OneLake lakehouses/warehouses, pipelines, notebooks, and real-time ingestion; implement CI/CD, Terraform IaC, monitoring, governance, security, and cross-cloud integrations; serve as Tier-3 escalation and enable AI-ready semantic datasets for Power BI and agent consumption.

The Data Engineer will manage production data quality tasks, support daily data loads, build ETL pipelines, and coordinate with teams to resolve data issues in an Azure Cloud-based environment.

Build production-quality data solutions from technical specifications: query and process large datasets, write SQL/Python/Spark code, integrate data into big-data systems, perform quality testing, collaborate with business stakeholders, and operate within Agile sprints. Remote role with bi-monthly team travel.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.

Design, build, and maintain ETL pipelines and data products at scale using Python, SQL, bash and cloud platforms. Participate in Agile ceremonies, support testing and deployments, implement data quality checks, document workflows, and collaborate with cross-functional teams to deliver business-facing data solutions.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

The role involves designing, building, and maintaining ERP data pipelines, ensuring their reliability and supporting data integration initiatives. Responsibilities include troubleshooting, implementing SDLC best practices, and collaborating with stakeholders to optimize data-related outcomes.

The Data Engineer will design and maintain scalable data pipelines, optimize ETL processes, and ensure data quality for analytics in healthcare.

The Data Engineer II will design and implement scalable data pipelines, collaborate with stakeholders, ensure data quality, and support analytics by utilizing cloud platforms and big data technologies.

As a Sr Data Engineer, you'll conduct feasibility analyses, develop applications, monitor processes, consult with users, and ensure compliance while serving as a mentor to junior analysts.

The Data Engineer will develop data pipelines, ensure data reliability, and support process automation while collaborating within Agile teams.