Data Engineer Jobs in Plano, TX

Lead and mentor a data engineering team to design, develop, test, and support cloud-based big data and streaming solutions. Build full-stack data pipelines using Java/Scala/Python, RDBMS/NoSQL, Redshift/Snowflake, and cloud platforms. Collaborate with product managers, perform unit tests and code reviews, and promote engineering best practices and tech community engagement.

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.

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 Data Engineer designs, develops, tests, and supports cloud-based data solutions. Collaborates with Agile teams on distributed, real-time, and ML-enabled systems using languages and data platforms (Java, Scala, Python, Go, Redshift, Snowflake). Mentors engineers, performs code reviews and unit tests, and drives technical innovation and experimentation.

Lead design, develop, test, and support cloud-based data platforms and scalable data pipelines. Mentor engineers, collaborate with product managers, and deliver high-performance data lakehouse/warehousing and event-driven solutions using big data and cloud technologies.

Design, develop, test, implement, and support cloud-based data solutions. Lead and mentor engineering teams, build distributed and streaming data pipelines, optimize performance, and collaborate with product managers to deliver scalable data platforms.

Design, build, and optimize HANA-native data models (calculation views, CDS, AMDP, SQLScript) for S/4HANA, BW/4HANA, and standalone HANA. Lead performance tuning, replication, security, capacity planning, and integration with Fiori, BW, and BTP. Mentor junior engineers and maintain technical documentation and runbooks.

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.

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.

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.

Lead Data Engineer responsible for designing, developing, testing, and supporting cloud-based data solutions. Collaborate across Agile teams, mentor engineers, build distributed and streaming data systems, and optimize performance using big data technologies and data warehouses.

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 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.

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.

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

Build, test, and operationalize complex data pipelines and solutions on cloud platforms. Analyze and transform data, ensure data governance, security, and quality, troubleshoot defects, and collaborate across teams to support analytics, ML/AI, and business intelligence needs.

Design and execute end-to-end SAP S/4HANA data migrations including extraction, transformation, validation, reconciliation, replication, and cutover. Configure and use LTMC, SLT, and LVM, optimize large-volume loads, collaborate with functional teams, ensure data governance compliance, and maintain technical documentation and runbooks.

Design, build, and maintain enterprise-grade data platforms and scalable ETL/ELT pipelines (batch and real-time). Implement cloud-native data solutions, optimize performance, enforce governance and data quality, contribute to architecture and CI/CD, and collaborate with cross-functional teams to support analytics and ML initiatives.

Design, build, and operate large-scale Hadoop-based data pipelines and streaming systems. Develop ETL/ELT workflows with Spark, Hive, Pig, and Sqoop; implement streaming with Kafka/Flink; optimize jobs for performance and cost; design storage and lakehouse layouts; enforce governance, monitoring, and orchestration (Airflow/Oozie); collaborate with data scientists; document runbooks; and mentor junior engineers.

Analyze existing systems, design cloud-ready data processing workflows, develop specifications and migration tools, validate implementations via automated testing, and report progress. Collaborate with stakeholders and developers to optimize BI/reporting solutions and complete relevant technical training.