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Top Remote Senior Level Data Engineer Jobs in Dallas, TX
As a Senior Machine Learning Engineer, you will design and engineer ML systems for various industries, promote technical thought leadership within the data science team, and work across different ML approaches. Responsibilities include collaborating with stakeholders, addressing technical challenges, and deploying production ML solutions in a cloud environment.
As a Senior Analytics Engineer at Amplify, you'll create analytical models to support educational products and provide insights to school administrators and internal business partners. You'll collaborate with data scientists and engineers to ensure data accuracy and security while building cohesive data marts from various systems. Additionally, you will participate in agile processes, mentoring, and continuous learning within a multi-functional team.
As Head of Data Feeds, you will lead the Product Management team, prioritize customer needs for alternative data feeds, and oversee product development and delivery. Collaborate with stakeholders across multiple departments to enhance investment processes and ensure team operations align with strategic goals.
The Data Migration Architect is responsible for assessing and planning the data center migration process, collaborating with stakeholders, developing migration plans, ensuring compliance with regulations, mitigating risks, and providing technical guidance during and after the migration. The role requires excellent problem-solving skills and the ability to work independently to manage complex migration activities.
The Privacy and Data Protection Counsel will advise on global privacy and data protection legal matters, assist in scaling the privacy program, manage privacy operations and large-scale projects, and ensure compliance with laws such as HIPAA and GDPR. Responsibilities include conducting privacy reviews, monitoring legal updates, and negotiating privacy terms in agreements.
In this role, you will design and implement data pipelines, manage data integration on cloud platforms, ensure data accuracy, and maintain compliance with healthcare regulations. You will lead collaborations with clients and teams, optimize data processes, and mentor junior engineers while staying informed on industry trends.
The Head of Data will shape the data strategy at Gemini, build a high-performance data team, manage data infrastructure, optimize data warehousing, and drive data-driven initiatives across the organization. Responsibilities include overseeing data management, analytics, and collaborating with executive leadership on data integration into business strategies.
This role involves leading a team of Data and Software Engineers responsible for ingesting and processing critical loan data from multiple partners. The manager will mentor and train team members, participate in code reviews, manage large-scale projects, and collaborate with project management to improve engineering processes.
As a Lead Data Engineer, you will design, develop, and implement data pipelines, warehouses, and lakes while ensuring data quality and accuracy. You will lead strategic discussions, document requirements, and develop scalable data solutions. Additionally, you will maintain data infrastructure and stay updated on emerging technologies.
As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.
Top Remote Companies in Dallas, TX Hiring Data + Analytics Roles
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