Top Data Engineer Jobs in Phoenix, AZ
The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.
The Data Conversion Specialist will oversee data migration from legacy systems to LINQ’s ERP platform. Responsibilities include leading projects, ensuring accurate data transfer, validating data integrity, and providing post-conversion support. The role demands strong technical expertise and project management skills.
The Data Engineer Consultant at DAS42 is responsible for developing data integrations, implementing data warehouses and ETL pipelines, and optimizing clients' data environments. They work collaboratively on projects, document client data environments, and support the pre-sales process while utilizing technologies like Python and SQL alongside data visualization and cloud platforms.
The Data Engineer will analyze and migrate customer data onto the enterprise software platform using ETL processes, collaborating with clients to identify data needs, validating data quality, and managing multiple data conversion projects.
As a Data Engineer, you will work on implementing data flows from client warehouses to Pathway's system, setting up CDC interfaces and designing ETL pipelines. You'll also contribute to benchmark framework design and build open-source testing frameworks for streaming data scenarios.
As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.
The Data and AI Specialist will drive data accuracy and growth at Crunchbase, focusing on LLM optimization, model performance evaluation, tool development, and data quality management while collaborating with data scientists and engineers.
The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.
.png)
As an MLOps Specialist, you will design and implement data systems and architectures to enhance data science processes. Collaborate with data scientists to improve modeling pipelines, build infrastructure, and handle data transformation. This role involves deploying models in production environments, utilizing cloud services like AWS, and supporting a team-oriented culture.
As a Senior Data Engineer, you will collaborate with clients to design and maintain advanced data platforms, develop real-time data processing systems, and create documentation and training materials. Your role includes building ETL pipelines, data warehouses, and RESTful microservices primarily using cloud services while ensuring effective communication of complex concepts to technical and non-technical stakeholders.
Top Companies in Phoenix, AZ Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
