Data Engineer Jobs in Richardson, TX

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.

Lead an agile engineering team to design, develop, and operate secure, scalable applications. Provide technical guidance, write and review production code, drive AI-assisted engineering adoption, influence product design, and promote firmwide SDLC practices using cloud-native, microservices, and Big Data technologies.

Lead an agile team to design, build, deploy, and operate cloud-native data and ML platforms. Provide technical guidance, write and review secure production code, drive AI-assisted engineering adoption, migrate legacy big-data apps to cloud, build data pipelines and monitoring/provisioning tools, and influence architecture and automation across the SDLC.

Lead Data Engineer/DB2 DBA responsible for maintaining and optimizing mainframe Db2 databases and data pipelines. Tasks include troubleshooting DB2 issues, backup/recovery, DDL deployments, environment refreshes, performance tuning, control reviews, and collaborating with application teams. Uses enterprise-authorized AI to accelerate design and operational tasks while ensuring validation, security, and auditability.

Design, build, and optimize scalable batch and streaming data pipelines and workflows. Drive data governance, modeling, cataloging, access control, and performance tuning. Mentor engineers, translate business needs into data-lake/warehouse solutions (AWS/Snowflake), use enterprise AI responsibly to accelerate SDLC tasks, and collaborate with analytics and business stakeholders to support regulatory and business objectives.

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.

Design, build, and optimize HANA-native data models (calculation views, CDS, AMDPs, SQLScript); tune HANA performance; implement security; manage replication and tiering; support HANA applications consumed by Fiori/BW/BTP; lead capacity planning, documentation, audits, and mentor junior developers.

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.

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.

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.

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 operate scalable batch and real-time data pipelines and cloud-native data platforms. Architect data lakes, warehouses, and streaming solutions; implement ETL/ELT, data governance, quality checks, metadata and lineage. Optimize performance, automate testing and CI/CD, support deployments and monitoring, and collaborate with cross-functional Agile teams to deliver production-grade, secure, and highly available enterprise data solutions.

Design and execute end-to-end SAP S/4HANA data migrations: extract, transform, validate, reconcile, and cutover data. Configure LTMC/SLT/LVM, optimize large-volume loads, perform validations, support cutovers, and maintain documentation and governance.

Design, build, and operate large-scale Hadoop-based data pipelines and streaming systems. Optimize Spark/MapReduce jobs, manage storage formats and governance, automate orchestration, monitor production workloads, and mentor junior engineers to deliver reliable analytics and ML-ready datasets.

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.