Data Engineer Jobs in Plano, TX

As a Senior Product Manager, you will define metrics for developer productivity, own measurement frameworks for AI tools, and drive insights from developer experience data to enhance software delivery.

The Lead Data Engineer will design, develop, and support technical solutions, utilizing big data technologies and cloud platforms, while collaborating with Agile teams.

Lead Data Engineer designs, develops, tests, and supports cloud-based data solutions. Collaborates with Agile teams, mentors engineers, implements big data and streaming systems, and optimizes code for performance to deliver data-driven products.

Lead and mentor data engineering teams to design, build, test, and support cloud-based, full-stack data solutions. Work with big data, streaming, and data warehousing technologies (Redshift/Snowflake), collaborate with product managers, and ensure high-quality, performant code and systems.

Lead Data Engineer designs, develops, tests, implements, and supports cloud-based data solutions. Collaborates with agile teams, mentors engineers, builds streaming and batch pipelines using big-data and cloud technologies, and ensures performant, well-tested code.

Lead and mentor a data engineering team to design, build, test, and support cloud-based data solutions. Develop distributed, real-time and batch data pipelines using Java/Scala/Python, NoSQL and RDBMS, and cloud data warehousing (Redshift/Snowflake). Collaborate with product managers and Agile teams to deliver performant, production-ready systems.

Lead the design and delivery of cloud-based DLP platform services that centralize policy authoring, routing/scoring of findings, and enforcement. Collaborate with product, security, and policy teams; drive architecture, data modeling, event design, deployment automation, and regulatory-compliant, auditable outputs. Mentor engineers and contribute to operational strategy and production validation.

Lead and mentor engineering teams to design, build, test, and support cloud-based data platforms and streaming solutions. Implement big data, ETL, and data warehousing using cloud services and distributed tools, collaborate with product managers, and ensure high-quality, performant code.

Design, build, and maintain large-scale data structures, ETL/ELT pipelines, and data marts. Integrate data from multiple sources, ensure data quality, and enable analytics and ML model integration. Leverage Hadoop/HDFS, cloud platforms, Airflow, streaming, containers, and generative AI frameworks to deliver scalable, auditable pipelines and backend services.

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

Lead design and build scalable, low-latency, fault-tolerant data platforms and pipelines. Mentor engineers, influence data architecture and governance, build analytics stores using big-data and cloud technologies, collaborate with product and security teams, and ensure CI/CD, resiliency, testing, and performance for data-driven solutions.

Lead Data Engineer responsible for developing and supporting technical solutions, collaborating with Agile teams, and driving transformation through data technologies.

As a Senior Lead Data Engineer, you will lead a team in developing solutions with big data technologies and cloud services, ensuring high performance and code quality. You'll mentor others and collaborate on technical innovations.

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 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 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.

Design, build, test, and operationalize complex data solutions and pipelines using Snowflake, dbt, and AWS. Analyze source systems, perform data mapping and cleansing, ensure data governance, security and quality, troubleshoot defects, optimize performance, and collaborate with teams and business stakeholders to deliver consumer-ready analytics data models.

Design, build, and optimize scalable AWS data pipelines and serverless solutions for utilities datasets. Orchestrate workflows (Step Functions/Airflow), implement ETL/ELT with PySpark/Python, model data for analytics, ensure performance, reliability, security, and compliance while collaborating with cross-functional stakeholders.

Lead the design and development of data protection services, collaborate with teams, and mentor engineers while utilizing cloud technologies.

The Data Engineer will design and implement scalable data pipelines, build data infrastructure, ensure data quality, and collaborate with teams for analytics and compliance.

Design, build, and maintain cloud-native data infrastructure and pipelines (AWS, Terraform, Spark/PySpark). Partner with analytics consumers to model data, ensure data quality across healthcare domains, manage BI lifecycle, enable self-service, and collaborate cross-functionally to deliver scalable ETL and warehousing solutions.

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

Lead high-impact AI/ML projects in the automotive domain, overseeing technical strategy, project execution, and client management, while mentoring junior team members.