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Apex Summit Corp. in San Antonio, TX is seeking a Data Engineer to design, build, and maintain data pipelines, optimize storage, and ensure data reliability.
You will collaborate with data scientists, analysts, and stakeholders to meet project requirements in a fast-paced team at our San Antonio office. Ideal candidates have a bachelor’s degree in CS or related field, strong SQL and Python skills, and experience with Airflow and cloud platforms (AWS or GCP).
Apex Summit Corp., a leading logistics and supply chain management company, is seeking a Data Engineer to join our team in San Antonio, TX. This is a full-time position with negotiable salary.
As a Data Engineer, you will design, build, and maintain data pipelines, optimize data storage and retrieval, and ensure data accuracy and reliability. You will collaborate with data scientists, analysts, and stakeholders to meet project requirements.
You will work in a dynamic team environment at our San Antonio, TX office. Our workplace is known for its vibrant atmosphere and strong company culture.
The salary for this position is negotiable, reflecting the company's commitment to fair compensation and recognizing the value of the candidate's skills and experience. In addition to the base salary, employees are eligible for a comprehensive benefits package that includes health insurance, retirement plans, and professional development opportunities. The health insurance covers a range of medical services, from routine check-ups to hospitalizations, ensuring that employees and their families have access to quality healthcare. The retirement plans offer various investment options, allowing employees to save and grow their wealth over time. Furthermore, the company provides opportunities for professional development, such as training programs, workshops, and access to industry conferences, enabling employees to enhance their skills and advance their careers.
To excel in this role, you should have a bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with data pipeline tools such as Apache Airflow, experience with cloud platforms like AWS or GCP, and proficiency in SQL and Python are required.