Data Engineer

Horizon Global Corp., a leading technology company, seeks a skilled Data Engineer to design, build, and maintain data infrastructure in Kansas City, MO. This full-time role involves developing data pipelines, ensuring data quality, and optimizing database performance.

As a Data Engineer, you'll create and implement data pipelines, write efficient SQL queries, design ETL processes, and troubleshoot data issues. You'll collaborate with data scientists and analysts to translate business needs into technical solutions.

Join a collaborative team in Kansas City, MO, contributing to a active workplace. Our office is centrally located, offering a vibrant atmosphere and excellent amenities.

The annual compensation for this role spans from $160,000 to $237,765, with benefits details not yet disclosed. The position involves managing a team of developers, overseeing project timelines, and ensuring the successful delivery of software products. Employees will utilize a variety of tools, including version control systems, project management software, and collaborative platforms, to facilitate efficient workflow and communication. The workplace is typically an office environment, though remote work options may be considered.

Candidates should possess a strong background in software development, excellent leadership skills, and a deep understanding of industry best practices. Proficiency in programming languages such as Java, Python, or C++ is often required, along with familiarity with agile methodologies and continuous integration/continuous deployment (CI/CD) pipelines.

The ideal candidate should have a strong background in data engineering, experience with data pipelines and ETL processes, proficiency in SQL and Python, and understanding of data warehousing. Familiarity with big data technologies like Hadoop or Spark is a plus.

Develop and implement data pipelines, ensure data quality, optimize database performance, write efficient SQL queries, design ETL processes, troubleshoot data-related issues.

Strong background in data engineering, experience in designing and implementing data pipelines, ETL processes, and database optimization, proficiency in SQL, Python, solid understanding of data warehousing concepts.