Top Remote Entry Level Data Engineer Jobs
As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.
The Manager of Software Engineering - Data at TrueCar will lead a team of data engineers, managing product roadmaps and driving engineering practices while collaborating with various stakeholders to enhance their online platform. Responsibilities include providing technical guidance, mentoring team members, and shaping the technical roadmap.
As a Data Engineer I, you will create and maintain scalable code for data needs, improve software processes, develop observability tools for monitoring data jobs, work with Data and MLOps Engineers to integrate data features, mentor teams on software best practices, and innovate solutions to data challenges.
As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
The role involves working with a team to deliver data engineering solutions in a financial services environment, supporting client wellness and health management through innovative technology and services.
The Data Strategist will manage measurement strategies for marketing campaigns, leveraging data analysis, statistical modeling, and customer insights. Key responsibilities include identifying performance insights, maintaining client relationships, presenting findings, and improving reporting processes.
The job involves leveraging AWS and Snowflake for data engineering responsibilities, focusing on big data solutions and cloud services. The role may also include elements of blockchain technology and artificial intelligence applications.
Seeking a skilled Data Operations Engineer to support data annotation production processes by optimizing, maintaining, and scaling data labeling workflows using tools like Labelbox. Responsibilities include scripting in Python, identifying bottlenecks, integrating third-party tools, and providing technical support to project managers and labelers.
As an Entry-Level AI Data Rater, you will engage in data management tasks such as data annotation and rating to help improve AI models. You will follow project guidelines, conduct research, and collaborate with teams to ensure data accuracy. This role offers a flexible schedule with comprehensive learning support for entry-level candidates.
The Data Scientist will utilize machine learning techniques and statistical concepts to derive business value from data. Responsibilities include data preprocessing, feature engineering, communicating with clients, participating in business development activities, and mentoring team members to enhance expertise and drive measurable business impact.
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