Join ECOSATELITE as a Data Engineer specializing in HR Analytics to build scalable data pipelines and derive actionable insights from HR data. This remote contract role offers the opportunity to innovate in workforce analytics and support strategic HR decisions.

ECOSATELITE is seeking a talented Data Engineer to join our HR Analytics team on a remote contract basis. In this role, you will design, develop, and maintain robust data pipelines to ingest, process, and analyze HR data from various sources, enabling better talent management and organizational insights.

Key responsibilities include:

• Building and optimizing data models for HR metrics such as employee turnover, performance trends, and diversity analytics.
• Integrating data from disparate HR systems and ensuring data quality and security.
• Collaborating with HR stakeholders and data scientists to translate business needs into technical solutions.
• Implementing scalable solutions using modern big data technologies.
• Monitoring and troubleshooting data flows to ensure reliability and performance.

This position is ideal for a data enthusiast passionate about leveraging technology to enhance human resources strategies. At ECOSATELITE, we value innovation and work-life balance, providing a supportive environment for remote professionals.

• Bachelor's degree in Computer Science, Data Science, or a related field
• 3+ years of experience in data engineering, with a focus on ETL processes and data warehousing
• Proficiency in SQL, Python, and tools like Apache Spark or Airflow
• Experience with HR data systems (e.g., Workday, SAP SuccessFactors) and analytics
• Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud
• Excellent problem-solving skills and ability to work collaboratively in a remote environment

• Competitive monthly salary with performance bonuses
• Flexible remote work schedule and home office stipend
• Comprehensive health and dental insurance coverage
• Professional development opportunities, including certifications and training
• Paid time off and wellness programs
• Access to cutting-edge tools and technologies in data analytics