The partner company of Jobgether is looking to solve the problem of designing, building, and maintaining scalable data infrastructure and pipelines that support enterprise-wide decision-making in the United States.
Requirements
- Proven experience in data engineering, with a strong understanding of data architecture, ETL processes, and pipeline design
- Proficiency in programming languages such as Python, Java, or Scala
- Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark)
- Knowledge of data governance, security, and compliance best practices
Responsibilities
- Lead and mentor a team of data engineers, fostering innovation, collaboration, and continuous improvement
- Design, implement, and optimize scalable data pipelines and ETL processes to meet evolving business needs
- Collaborate with data scientists, analysts, and stakeholders to gather requirements and deliver data solutions
- Ensure data quality, governance, security, and compliance with industry standards and best practices
- Evaluate and integrate new tools, platforms, and technologies to enhance data infrastructure and processing capabilities
- Monitor and maintain data system performance, troubleshooting and resolving issues proactively
Other
- Strong leadership skills, with experience managing and mentoring data engineering teams
- Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams
- Competitive salary with consideration for experience and qualifications
- Health, dental, and vision insurance coverage
- Paid time off and flexible leave policies
