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Quartz North Group, a data analytics and engineering services company, seeks a Data Engineer in Omaha, NE for a full-time role. You will design, develop, and maintain data infrastructure, data pipelines, and data processing systems while ensuring quality and integrity.
You will collaborate with data scientists and analysts to meet data needs, contributing to a collaborative and innovative office culture. A bachelor’s degree and several years in data engineering are expected.
Quartz North Group, a data analytics and engineering services company, is seeking a Data Engineer in Omaha, NE for a full-time position. You will design, develop, and maintain our data infrastructure, playing a crucial role in our operations.
Your daily tasks will include designing and implementing data pipelines, ensuring data quality and integrity, and optimizing data processing systems. You will collaborate closely with data scientists and analysts to meet the company's data needs.
As part of a dedicated team in Omaha, NE, you will contribute to a collaborative and innovative work environment. Our office is centrally located in the city, offering convenience and accessibility for employees.
The annual salary for this position ranges from $100,000 to $137,615, depending on experience and qualifications. The role involves managing a team of professionals, overseeing project timelines, and ensuring the successful completion of tasks. The candidate should have a strong background in project management, with proficiency in tools such as Microsoft Project, Asana, or Trello. A comfortable and collaborative workplace environment is essential, with the ability to work both independently and as part of a team. The position requires a bachelor's degree in a relevant field, typically business administration or a related discipline, and several years of experience in project management. Benefits, while not specified, are likely to include health insurance, retirement plans, and possibly other perks such as professional development opportunities or flexible work arrangements.
To succeed in this role, you should have a strong background in data engineering, with experience in designing and implementing data pipelines. Proficiency in SQL, Python, and at least one big data technology like Hadoop or Spark is required. Familiarity with cloud platforms like AWS or Azure is a plus.