Top Remote Senior Level Data Engineer Jobs
Lead the development of AI and Machine Learning solutions to enhance user experience and workflow efficiency for enterprise services at ServiceNow. Collaborate with a team of scientists, developers, and product managers to deliver innovative solutions to enterprise customers worldwide.
The Principal Data Architect is responsible for executing the vision and strategy for the organization's use of data, defining and maintaining data architecture roadmap, ensuring alignment with business requirements, and choosing toolsets for data storage. They collaborate with business stakeholders and data teams to deliver secure, available, and accurate data solutions.
The Principal Data Architect is accountable for executing the vision and strategy for the organization's use of data. Responsible for defining and maintaining the data architecture roadmap, ensuring alignment with business requirements and regulations. They will work closely with stakeholders to deliver a secure and accurate data solution.
Develop and maintain scalable data analytics solutions using Tableau, Snowflake, dbt, and Fivetran. Create dashboards, manage data warehouses, ensure data quality, and empower stakeholders to make data-driven decisions.
Building applications to support the development of advanced technology and optimize processes for product market entry. Responsibilities include enhancing PLM capabilities, providing customer support, integrating systems, and upgrading environments. Required education includes a Bachelor's degree or equivalent experience with 5+ years of experience in PLM.
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As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.
Looking for a Senior Data Engineer with extensive experience in data engineering, Snowflake, AWS, ETL development, and data infrastructure. Responsibilities include designing and implementing data pipelines, master data, and building data infrastructure. Must have a strong desire to learn new tools and skills. Remote US location, preferably in Pacific time zones.
Machine Learning Engineer on the Embeddings team at Liftoff.
Design, develop, and maintain scalable solutions for ongoing metrics, reports, and analyses to support analytical and business needs. Translate business problem statements into analysis requirements and collaborate with the team to measure customer experience. Develop queries, visualizations, troubleshoot data-quality issues, and recommend improvements to back-end data sources.
Join our team as a Senior Analytics Engineer at Spring Health, a mental health solution provider for employers and health plans. Your role involves developing data infrastructure, building dashboards, and optimizing business operations.
Ontra is seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure. The role requires 5+ years of core data engineering experience with technical skills in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.
Join Brigit as a Senior Data Engineer to build data platforms, develop data pipelines, optimize data processing, collaborate with teams, drive project management, shape data quality strategy, and establish best practices. Requires 6+ years of data engineering experience in Python and SQL, proficiency with cloud infrastructure, data warehouse administration, dbt, and analytics engineering.
Seeking a seasoned Enterprise Data Architect to enhance the dynamic team at Skillsoft. Responsible for leading data strategy, mentorship, advanced analytics, cost management, architecture optimization, security, and innovation. Must have a degree in a related field, 10 years of experience, and expertise in data management, modeling, pipelines, and storage solutions.
As a Senior Data Engineer (AI) at Red Canary, you will develop and optimize AI/ML models to detect cybersecurity threats, collaborate with multiple teams, refine data processing pipelines, and lead innovative projects within the Data Science team. Your role will involve fostering a culture of continuous learning and innovation while contributing to improving cybersecurity defenses for organizations.
As a Principal Data Engineer at Red Canary, you will lead the development of data solutions to enhance cybersecurity capabilities. Your role involves designing and maintaining data pipelines, implementing data strategies, collaborating with cross-functional teams, and mentoring the data science team.
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