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Pioneer Valley Group in Mesa, AZ is seeking a Data Engineer to design and maintain data infrastructure as part of a full-time team. You will build scalable data pipelines, ensure data quality, and optimize performance to support strategic business goals.
The role requires strong SQL and Python skills, plus experience with cloud platforms (AWS or GCP). A related bachelor's degree and several years in a similar role are expected, with leadership responsibilities and collaboration across the data
Pioneer Valley Group, a dynamic firm specializing in data-driven solutions, is seeking a Data Engineer to join our full-time team in Mesa, AZ. In this role, you'll focus on building and maintaining our data infrastructure.
As a Data Engineer, you'll design and implement data pipelines, ensure data quality, and optimize performance. You'll collaborate with our data team to develop scalable solutions that support our business goals.
You’ll be part of a collaborative and innovative team in Mesa, AZ. Our workplace values teamwork and creativity, fostering an environment that drives our company's success.
The annual salary range for this position is between $180,000 and $296,774, reflecting the high level of responsibility and expertise required. This role comes with a comprehensive benefits package, which may include health insurance, retirement plans, and possibly other perks such as professional development opportunities or flexible work arrangements. The candidate will be responsible for managing a team of professionals, overseeing project timelines, and ensuring the successful delivery of key initiatives. They will need to possess strong leadership skills, excellent communication abilities, and proficiency in relevant software tools like project management platforms or data analysis software. The workplace is typically an office environment, but remote work options may be considered depending on the company's policies. The candidate should have a bachelor's degree in a related field and several years of experience in a similar role. Additional certifications or specialized training may be beneficial but are not strictly required.
You should have a strong background in data engineering, with experience in designing and maintaining data pipelines. Proficiency in SQL, Python, and cloud platforms like AWS or GCP is essential. A degree in Computer Science, Engineering, or a related field is preferred.