Data Engineer

Quartz Valley; Columbus (OH); Presencial; USD 120.000 - 171.000; Jornada completa

Descripción de la vacante

Quartz Valley in Columbus, OH is seeking a Data Engineer to design, develop, and maintain data pipelines and infrastructure.

You will work with data scientists and analysts to ensure data quality, optimize processing, and deliver scalable solutions in a collaborative, learning-focused environment.

Requirements include a bachelor's degree in Computer Science, Data Engineering, or a related field, several years of experience, strong SQL and Python skills, and experience with data warehousing tools.

Formación

• Bachelor's degree in a relevant field.
• Several years of experience in data engineering or a similar role.
• Proficiency with SQL, Python, and data warehousing tools.
• Strong problem-solving and communication skills.

Responsabilidades

• Design and implement data pipelines and data infrastructure.
• Ensure data quality and data integrity across systems.
• Optimize data processing workflows for performance and scalability.
• Collaborate with data scientists and analysts to deploy data-driven solutions.
• Troubleshoot data-related issues and improve reliability.

Conocimientos

Data pipeline design

Problem solving

Communication

Educación

Bachelor's degree in Computer Science / Data Engineering / related field

Herramientas

SQL

Python

Data warehousing tools

Descripción del empleo

Quartz Valley, a data solutions company, is hiring a Data Engineer in Columbus, OH. This full-time role involves designing, developing, and maintaining data pipelines and infrastructure.

Your daily tasks will include designing and implementing data pipelines, ensuring data quality and integrity, and optimizing data processing workflows. You'll collaborate with data scientists and analysts to develop scalable solutions and troubleshoot data-related issues.

Join a dedicated team in Columbus, OH, working with data professionals to drive data-driven decision-making. Our office fosters collaboration, innovation, and continuous learning.

The annual salary range for this position is between $120,000 and $171,159, with benefits not yet detailed. The role involves managing and executing various tasks, utilizing a range of tools and technologies, and working in a dynamic workplace environment. Specific job requirements include a bachelor's degree in a relevant field, several years of experience in the industry, proficiency in certain software and programming languages, and strong problem-solving and communication skills.

You should have a strong background in data engineering, with experience in designing and implementing data pipelines. Proficiency in SQL, Python, and data warehousing tools is essential. A degree in Computer Science, Data Engineering, or a related field is required, along with a passion for solving complex data challenges.

Designing and implementing data pipelines, ensuring data quality and integrity, optimizing data processing workflows, collaborating with data scientists and analysts, troubleshooting and resolving data-related issuesStrong background in data engineering, experience in designing and implementing data pipelines, proficiency in SQL, Python, and data warehousing tools, degree in Computer Science, Data Engineering, or a related field, passion for solving complex data challenges