Top Data Engineer Jobs in Phoenix, AZ

Hiring a Senior Data Engineer to build data architectures, migrate to a streaming and big data architecture, and enhance platform automation. Responsibilities include building data warehouse, event stream platform, and managing projects in dynamic environment. Requires Bachelor's/Master's in Computer Science, 5+ years of data pipeline building experience, Scala fluency, and knowledge of Apache Spark and streaming technologies.

The Data Senior Principal Consultant guides clients through the implementation and operational phases of Workday, leveraging expertise in design, configuration, and data management. Responsibilities include mentoring other consultants, managing project workstreams, and ensuring successful data conversion processes.

As an Entry-Level AI Data Rater, you will engage in data management tasks such as data annotation and rating to help improve AI models. You will follow project guidelines, conduct research, and collaborate with teams to ensure data accuracy. This role offers a flexible schedule with comprehensive learning support for entry-level candidates.

As a Senior Analytics Engineer, you will help transform the company's data architecture using SQL and tools like Databricks and dbt. Responsibilities include developing data models, optimizing data pipelines, and collaborating with teams to address business needs through data solutions.

The Data Quality Coordinator will evaluate grower field-level data for accuracy and consistency, identify data quality issues, assist in implementing new processes, execute validation procedures, and review data for program requirements. This part-time remote position requires excellent analytical and problem-solving skills.

As a Senior Data Engineer at Amperon, you will build and optimize a scalable data stack for energy forecasting, automate data processing and model training, monitor system performance, and enhance data flow efficiency while working with senior team members to address engineering challenges.

The Data Engineer II will design and implement infrastructure for a unified data platform, supporting organizational decision-making. Responsibilities include building ETL pipelines, maintaining data warehouses, analyzing data sources, and collaborating with stakeholders to meet data needs.