Top Hybrid Data Engineer Jobs
Experiment with state-of-the-art algorithms to improve knowledge retrieval and search efficiency, develop Natural Language Processing and Gen AI models to enhance customer support, collaborate with cross-functional teams, monitor model performance, and prepare reports on trends.
As a Security Governance Partner for Cash App's Machine Learning and Data Science, you will act as a security domain expert, collaborate with various teams, automate governance tasks, drive security requirements, and promote security standards and frameworks.
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead projects, maintain code quality, collaborate with cross-functional teams, and contribute to technical problem-solving at scale.
Lead SAP Data Migration Engineer role at NBCUniversal, overseeing seamless transition to SAP S/4 transformation by ensuring efficient data migration. Responsibilities include gathering requirements, designing and building SAP MDG and Data Services solutions, reviewing support documentation, ensuring master data consistency, liaising with product teams, and collaborating with offshore teams. Requires 8+ years of experience in SAP MDG and Business Objects Data Services, 2+ years in SQL, and a Bachelor's degree in a related discipline.
Seeking a Senior Scientist, Engineering to lead late-stage Active Pharmaceutical Ingredient (API) characterization projects, mentor junior staff, and provide scientific expertise in small molecule process characterization work. Responsibilities include leading or supporting internal and external development, collaborating with external suppliers, and participating in cross-divisional working groups.
Featured Jobs
Seeking Data Cloud Solutions Associate to leverage Data Cloud capabilities, drive insights, and present reports to stakeholders. Responsibilities include understanding Data Cloud, conducting demonstrations, providing recommendations, analyzing customer data, and supporting day-to-day operations across channels. Required skills in Excel, analytical thinking, problem-solving, and communication. Preferred skills in Tableau, Data Science, and Machine Learning.
Zeta Global is seeking a Solutions Consultant to join their Data Cloud division, responsible for enabling new business development based on proprietary data assets. The role involves supporting client meetings, analyzing data sets, and developing client-facing business cases. The ideal candidate should have experience in digital marketing, analytics, and presenting to executives.
Seeking a Data Cloud Solutions Associate to leverage Data Cloud capabilities for key clients, provide insights, solutions, and reports, support day-to-day operations, and act as a Data Cloud subject matter expert.
As a Senior Data Engineer at Two Barrels, you will be responsible for managing data infrastructure, building ETL pipelines, improving database design, and ensuring data consistency. You will collaborate with Data Analysts, identify process improvements, and stay updated with cloud technologies. A Bachelor's degree in computer science or a related field, along with 4+ years of experience in a data engineer role, is required. Advanced SQL knowledge and experience with PostgreSQL are also required.
Data Engineer II at GoodRx, responsible for developing and maintaining data processing pipelines using cloud technologies and big data tools. Collaborate with cross-functional teams to guide business decisions through data analysis.
GoodRx is seeking a Data Engineer II to collaborate on building data pipelines using cloud technologies such as AWS, Databricks, and Kubernetes. Responsibilities include defining data specifications, developing data processing pipelines, and analyzing large data sets to guide business decisions.
GoodRx is looking for a Data Engineer II to collaborate with various teams to develop and maintain data pipelines, analyze large data sets, and architect cloud-based data infrastructure solutions.
Design and maintain databases and database solutions, participate in system development projects, monitor and tune database performance, provide consultation support, develop maintenance procedures, support disaster recovery drills, recommend new standards, participate in testing and evaluations, prepare documentation, maintain metadata repositories.
Build and orchestrate model pipelines, scale machine learning algorithms, implement ML Ops, write production-ready code, collaborate with client teams, and stay updated on latest technologies in the AI field.
As a Machine Learning Engineer at ZS, you will build, orchestrate, and monitor model pipelines, scale machine learning algorithms, enhance ML engineering platforms, implement ML Ops, write production-ready code, collaborate with client teams, and stay updated on the latest technologies.
The Machine Learning Engineer at ZS will be responsible for building and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies. Requires a Bachelor's/Master's degree in Computer Science or related field, 2-4 years of experience in deploying ML models, expertise in Python/PySpark, and experience in ML platforms like Dataiku and Sagemaker.
Executive Coordinator role at Takeda's Data Sciences Institute, providing high-level administrative and office support to the leadership team. Responsibilities include calendar management, travel arrangements, meeting coordination, data entry, and office organization.
The Head of Enterprise Data Quality and Marketplace role at Takeda is a strategic position responsible for enabling and delivering enterprise-level Data Quality, Data Catalog, Data Security, Data Acquisitions, and Data Marketplace services globally. This role involves owning and leading initiatives related to data quality, managing complex data management problems, influencing leadership and partners on data quality and marketplace strategies, and driving innovation for business value.
Implement and maintain an Enterprise Data Catalog, drive data catalog adoption, configure templates, execute APIs, develop metrics, and optimize SDLC processes.
Drive technical and organizational roadmap for machine learning engineering team at Snap Inc. Develop cutting-edge solutions, lead a team of engineers, and collaborate with cross-functional teams to create innovative features for Snapchat users.
Snap Inc is seeking a Business Intelligence Engineer for its People Team. This individual will translate business questions into actionable analytics plans, conduct statistical analyses, build data tools/visualizations, ensure data quality, manage workflow, and mentor junior team members. Key skills include data modeling, data warehousing, SQL, Python, statistical analysis, and effective communication.
Seeking a Business Intelligence Engineer to work closely with engineering, people science, business leaders, and HR to design and build data tools/visualizations, conduct analyses, and identify key business insights.
Top hybrid Companies Hiring Data + Analytics Roles
See All
.png)
All Filters
No Results
No Results
