Data Engineer
Listed on 2026-10-31
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Software Development
Data Engineering, Python
Cedar Grove Group, a prominent player in the financial services sector, is seeking a skilled Data Engineer for a full-time position in Nashville, TN. In this role, you will be responsible for designing, developing, and maintaining our data infrastructure.
In this role, you will work closely with our data team to build and optimize data pipelines, ensuring data integrity and availability. You will also collaborate with other departments to understand their data needs and translate them into technical requirements.
You will be part of a dedicated team in Nashville, TN, contributing to a collaborative and innovative work environment. Our team is committed to leveraging the latest technologies to drive business insights and decision-making.
The annual salary range for this position is between $110,000 and $140,386, with the exact amount determined by experience and performance. The role involves managing a team of developers, overseeing project timelines, and ensuring adherence to coding standards and best practices. The workplace is a modern office equipped with the latest development tools and software, including integrated development environments (IDEs) and version control systems.
The position requires a bachelor's degree in computer science or a related field, along with several years of experience in software development. Proficiency in multiple programming languages and familiarity with agile methodologies are also essential. Additional benefits may include health insurance, retirement plans, and professional development opportunities, but specific details are not provided.
To excel in this role, you should have a strong background in data engineering, with experience in designing and implementing data pipelines. You should be proficient in SQL, Python, and have a good understanding of cloud platforms. Familiarity with big data technologies is a plus.
Design, develop, and maintain data pipelines
Ensure data integrity and availability
Collaborate with other departments to understand data needs
Strong background in data engineering
Experience in designing and implementing data pipelines
Proficiency in SQL, Python Good understanding of cloud platforms
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