Top Senior Level Data Engineer Jobs in Dallas, TX

The Privacy, AI and Data Protection Counsel will manage Wiz's privacy and data protection compliance program, provide guidance on compliance matters, negotiate Data Processing Agreements, and stay informed on global regulations. Reporting to Wiz’s Global Privacy Officer, this role requires expertise in addressing privacy concerns particularly in technology contracts.

As a Data Engineer, you will support analytics initiatives by developing and maintaining data pipelines, collaborating with various teams, optimizing existing data processes, and ensuring data quality. This role also involves designing data models and deploying architecture for efficient data retrieval and storage.

Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.

The Data Analytics Architect leads the design and administration of a federal customer’s data analytics suite. Responsibilities include working primarily with Splunk and Cribl in cloud environments, optimizing data storage configurations, and collaborating with teams on security content requirements for SOC operations.

As a Senior Analytics Engineer at Brightwheel, you will build and maintain data layers for analytics, write SQL in DBT for data models, collaborate with various stakeholders to enhance data discovery and analytical processes, and improve organizational data visibility and structure through troubleshooting and scaling existing models and reports.

As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.

The Senior Data Engineer will build datasets and ensure quality data accessibility for product teams and data scientists. Responsibilities include designing data structures for the data warehouse, creating ETL processes, and collaborating with various teams to meet data needs and support business analytics efforts.