Top Remote Data Engineer Jobs in Tucson, AZ

Design, build, and enhance batch and real-time inference services and tooling that support machine learning use cases. Collaborate with ML modelers to encourage adoption of new tools and technologies and plan for future needs of the ML teams.

Responsible for data visualization, data engineering, data governance, and software engineering. Creating dashboards, managing ETL pipelines, designing data processing scripts, and ensuring data governance. Experience with Python, SQL, R, PowerBI, and TIBCO Spotfire.

Looking for a Data Engineering & Visualization Specialist to manage and enhance data functions, including building dashboards, managing ETL pipelines, data governance, and software engineering tasks. Must have 3 years of experience and proficiency in Python, SQL, and R.

Lead Data Management Consultant proficient in Python scripting. Responsibilities include use case development, automation, consulting, product development influence, knowledge sharing, documentation, and analytics. Minimum qualifications include a Bachelor's or Master's degree and 8 years of experience in data management solutions.

The Senior Data Integration Consultant interfaces with customers' functional teams to understand the data and automation needs required to achieve a connected reporting experience. They will translate functional needs into technical requirements and work closely with customers’ technical teams to connect the Workiva platform to the customers’ enterprise systems. This role is responsible for the design and delivery of the Data Management Suite comprised of Wdata Tables/Queries/Views, Chains, and Data Prep.

Lead the development of AI and Machine Learning solutions to improve enterprise services user experience and workflow efficiency. Collaborate with a team of researchers, scientists, engineers, and product managers to build innovative solutions for enterprise customers around the world.

Lead the Data Management Transformation program at Mondelēz International, focusing on defining and delivering a complex master data transformation for the US market. Partner with various teams and senior leaders to ensure alignment and successful execution of the project. Provide strategic input on data governance and management practices to drive long-term success for the business unit.

Join our autosquad team to automate order-taking process through AI by managing data warehouses, cleaning/preprocessing datasets, developing ETL pipelines, and collaborating with ML Ops and software engineers.

Seeking a Staff Data Engineer to build data pipelines and applications using emerging technologies like generative AI. Responsibilities include designing, building, and scaling data pipelines, working with machine learning best practices, and partnering with various internal stakeholders.