max(automate), a software development and technology consulting firm located in Phoenix, Arizona, is seeking a Mid-Level Data Engineer & Analyst. As a company that specializes in helping small businesses maximize technology, we are dedicated to understanding both technical and business problems to provide effective solutions. We believe in long-term partnerships with our clients, providing support and guidance for their present and future technical needs to ensure their businesses can flourish.

As a Mid-Level Data Engineer & Analyst, you will play a crucial role in helping our clients leverage their data to make informed business decisions. You will be responsible for designing, developing, and maintaining data systems and pipelines to process, transform, and analyze data. By understanding our clients' data requirements, you will collaborate with cross-functional teams to deliver meaningful insights and create data-driven solutions.

Responsibilities

• Designing, developing, and maintaining data systems and pipelines.
• Collaborating with cross-functional teams to understand data requirements and create solutions.
• Writing complex SQL queries to extract, transform, and load data from different sources.
• Building and optimizing data models and schemas.
• Applying data cleansing techniques to ensure data accuracy and integrity.
• Developing and maintaining data governance frameworks and best practices.
• Performing data analysis and creating reports and visualizations to deliver insights.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Minimum of 3 years of experience in data engineering and analysis.
• Proficiency in SQL, Python, and other programming languages.
• Strong understanding of data modeling and schema design.
• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of data warehousing concepts and technologies.
• Familiarity with cloud-based platforms and services like AWS or Azure.
• Must be located in Arizona

Benefits

• Mostly remote
• Flexible hours
• Company events