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Cobalt North Partners, a private investment firm based in Omaha, NE, seeks a full-time Data Engineer to design, build, and maintain data infrastructure supporting investment strategies.
The Data Engineer will collect, process, and analyze large datasets, develop ETL pipelines, and ensure data integrity and security, collaborating with investment professionals and data scientists in an office-based setting in Omaha.
Cobalt North Partners, a private investment firm based in Omaha, NE, is seeking a full-time Data Engineer to design, build, and maintain data infrastructure supporting investment strategies.
The Data Engineer will collect, process, and analyze large datasets to provide actionable insights. Key tasks include developing ETL pipelines, optimizing database performance, and ensuring data integrity and security.
The Data Engineer will work in an office-based setting in Omaha, NE, collaborating with investment professionals and other data specialists. This role involves designing, implementing, and maintaining data pipelines and infrastructure to support the firm's investment strategies. The Data Engineer will use a variety of tools and technologies, including SQL, Python, and cloud-based platforms like AWS or Azure, to extract, transform, and load data from various sources. They will also work closely with data scientists and analysts to ensure data quality, accuracy, and accessibility. The Data Engineer will need to have a strong understanding of data modeling, database design, and data governance principles. This role requires a bachelor's degree in computer science, engineering, or a related field, along with relevant experience in data engineering or a similar role. The Data Engineer will be responsible for monitoring and optimizing data processes, ensuring they meet the firm's performance and scalability requirements. They will also participate in cross-functional projects, providing technical expertise and guidance to achieve project goals.
During the interview process, candidates are typically informed about the salary they can expect to earn. However, the discussion of benefits is often left open-ended, with no specific details provided. This can leave candidates uncertain about the full scope of compensation and perks they might be entitled to. It's important for employers to clearly outline the salary structure and benefits package to ensure transparency and help candidates make informed decisions about their potential employment.
The successful candidate should have a bachelor's degree in Computer Science, Engineering, or a related field, along with 3-5 years of experience in data engineering. Proficiency in SQL, Python, and cloud platforms is required. Familiarity with big data technologies and data visualization tools is a plus.
Designing and maintaining data infrastructure, developing ETL pipelines, optimizing database performance, ensuring data integrity and securityBachelor's degree in Computer Science, Engineering, or related field, 3-5 years of experience in data engineering, proficiency in SQL, Python, and cloud platforms