Top Senior Level Data Engineer Jobs in Wilmington, NC

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

Lead design and delivery of data solutions in Adobe Experience Platform, optimize data models, mentor junior engineers, and drive strategy.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

Lead the Analytics Engineering team at Coinbase, focused on building data models, ensuring data quality, and delivering actionable insights through collaboration with cross-functional departments, with an emphasis on AI and LLM applications.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

As a CDP Platform Support Analyst, you will optimize audience segments, manage data integrations, and apply AI/ML models for audience segmentation and personalization in a creative setting.

The Salesforce Data Cloud Solution Architect will lead the design of customer data strategies, ensure the alignment of business goals with data solutions, oversee data architectures on Salesforce Data Cloud, and collaborate with various teams to deliver integrated solutions.

The Senior Analytics Engineer will build and maintain data integrations, automate workflows, ensure data accuracy, and support school operations in K-12 education.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.