Top Remote Senior Level Data Engineer Jobs in Phoenix, AZ

Looking for a Senior Oracle Database Administrator with Oracle Goldengate 21c Microservices experience to deploy and maintain database clusters, automate tasks, optimize code, and participate in on-call rotation. Must have experience in Oracle 12c/19c, Data Guard, performance tuning, and PL/SQL programming.

As a Senior Data Engineer, you will be responsible for designing and implementing data solutions, managing ETL processes, and optimizing data warehousing strategies to support business analysis and reporting. You will collaborate with cross-functional teams to ensure data integrity and availability, leveraging Big Data technologies and AWS services to enhance data processing capabilities.

The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.

As a Senior Data Engineering Consultant at Provectus, you will lead the implementation of enterprise-scale data solutions, mentor junior engineers, drive architecture decisions, and maintain strong client relationships to deliver transformative AI solutions.

As a Senior Applied AI Scientist at Speechify, you will mentor engineers, conduct research, and implement advanced NLP and TTS methods. Your role involves managing projects and staying updated on state-of-the-art technologies to enhance team capabilities. You'll be part of a fast-growing team focused on transforming audio information access.

The Senior Analytics Engineer will translate business needs into technical specifications, build analytics solutions, and develop complex data transformations within the Arine data lake while collaborating with various teams. The role requires creating data models and visualizations to present data in action-oriented formats.

The Senior AI Researcher will architect, design, and implement state-of-the-art generative AI models for ASR or TTS applications. Responsibilities include training and optimizing LLMs, collaborating with cross-functional teams, and staying updated on advancements in generative AI. A strong focus on problem-solving and collaboration in a fast-paced environment is essential.