Top Remote Senior Level Data Engineer Jobs in Dallas, TX
As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.
Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Collaborate with cross-functional teams to build and iterate on large-scale Machine Learning systems. Contribute to the technical strategy for the machine learning lifecycle.
Join GRAIL as a Staff Data Engineer to support the data needs of clinical and research activities. Automate and enhance data infrastructure to contribute to early cancer detection efforts. Work collaboratively to design, deploy, and automate secure and efficient data infrastructure and tools.
The Data Architect at Bounteous x Accolite is responsible for developing and executing a roadmap to maximize data capabilities and business insights. They guide the future direction of data solutions, lead a team of analysts, and champion a data-driven culture within the organization.
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Leading a team of data and infrastructure engineers in the overall delivery of data solutions to enable advanced data science and analytics. Working on transforming transportation by analyzing and finding meaning within massive data sets.
Grammarly is seeking a Machine Learning Engineer to join their Marketing Technology team. The role involves shaping marketing strategies, improving customer experiences, and optimizing marketing campaigns using data and advanced algorithms. Responsibilities include maximizing ROI for advertising campaigns and delivering targeted ads to the right audience.
The Sr. Data Engineer at Inspira Financial empowers business leaders to make decisions and drive outcomes by focusing on delivering data assets efficiently and securely in a cloud enterprise environment. Responsibilities include designing logical data models, managing the Enterprise data model, implementing data cloud services, developing data warehouse and Business Intelligence strategy, and supporting data governance initiatives using Python, SQL, AWS Kinesis, Azure Data Factory, and more.
Building and maintaining production data pipelines for analytics, developing tooling and solutions for data practitioners, improving observability and maintainability in the data environment, creating and implementing standards for data flows, and documenting processes and policies.
As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving data services for AI and ML solutions, supporting the engineering team, and providing excellent customer support. You will troubleshoot data requests, understand the platform architecture, and ensure issues are resolved in a timely manner.
Senior Data Engineer spearheading new data engineering projects, collaborating with cross-functional teams, guiding technical planning and execution, mentoring engineers, addressing complex challenges, and championing adoption of emerging technologies.
Join Paper, an educational support system company, as a Senior Data Engineer. Help optimize products by building a learning profile for each student using collected data. Work on personalized tutoring, practice centers, and college readiness solutions. Must have 5 years of experience in Python, SQL, AWS, data engineering, and ETL processes.
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