Top Data Engineer Jobs in Tulsa, OK

The Data Engineer will design, build, and maintain data architectures and pipelines, ensuring data integrity and performance while collaborating with various teams to deliver impactful insights and solutions for business intelligence and analytics.

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

As a Senior Data Engineer, you will own GCP-based analytics infrastructure, design scalable data pipelines, and collaborate with engineering teams on data solutions.

The Senior Data Engineer will design and implement data systems and pipelines for healthcare datasets, focusing on scalability and reliability while mentoring team members and partnering with other teams.

The Staff Data Engineer will architect and build scalable data pipelines, develop internal tools and APIs, and modernize data operations, focusing on data quality and self-service platforms.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

The Data Ingestion Specialist will manage the ingestion of healthcare data, improve data models, debug issues, and collaborate with team members to maintain pipeline reliability and efficiency.

The Principal Data Engineer will lead data architecture initiatives, design scalable data systems, and oversee data standards across teams while ensuring high-quality data infrastructure and guiding engineering teams.

The Senior Data Engineer will architect and maintain data platforms, build scalable data infrastructure, mentor teams, and drive healthcare data improvements and product integration.

As a Senior Data Engineer, you will design and maintain data warehouses, ensuring data quality, manage data transformations, and mentor others while partnering with various stakeholders.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

The Senior Data Engineer designs, builds, and maintains scalable data pipelines for business intelligence and AI/ML capabilities, collaborating with various teams to deliver high-quality data products.

The role involves utilizing data visualization tools like Tableau and Databricks for effective data representation and insights.

As a Data Platform Engineer at Fetch, you'll build and maintain data ingestion pipelines, operate cloud-native services, and collaborate across teams to enhance data reliability and access.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.

The Senior Data Engineer will design, build, and operate data pipelines, ensuring reliability and quality, while collaborating with cross-functional teams.

As a Senior Data Engineer, you'll transform raw data into datasets, design production pipelines, integrate customer data, and collaborate with various teams to ensure data quality and reliability.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

The Senior Data Engineer will design and build data models, manage data pipelines, improve data quality, and collaborate with teams to deliver reliable data solutions for the company.

As a Senior Data Engineer, you'll define data ontology, collaborate with teams, design data pipelines, and optimize data infrastructures to support analytics for Yahoo Mail.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

The Staff Data Engineer will design data architecture, develop scalable data pipelines, ensure data quality, and lead governance practices while collaborating across teams.

The Sr. Data Engineer will design and maintain databases, develop ETL pipelines, and ensure data integrity for Hologram's IoT network, enabling insights and decision-making.

The Senior Engineer, Data will architect and deploy data pipelines, optimize databases, collaborate with teams, and maintain data integrity. They will also enhance data architecture and improve processes using various technologies.

The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.