• Design, develop, and maintain scalable data pipelines and ETL processes using [specific technologies and tools].
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across the data lifecycle.
• Optimize data storage and retrieval processes to improve system performance and efficiency.
• Monitor and troubleshoot data pipelines and infrastructure to ensure reliable data flow.
• Write and maintain comprehensive documentation for data processes, architectures, and workflows.
• Continuously learn and apply new data technologies and best practices.

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 4+ years of experience in data engineering or a related role.
• Proficiency in [Hadoop, Spark, SQL, AWS Redshift, or other relevant data technologies].
• Strong understanding of data engineering principles and best practices.
• Experience with data modeling, data warehousing, and big data technologies.
• Excellent problem-solving skills and attention to detail.
• Proven track record of designing and implementing efficient data pipelines.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.

Varies by Role, Location and our clients. However, we strive to ensure that the pay is competitive and that there's a strong benefits package included