Senior Data Engineer ~ Remote within the United States

Responsibilities:

• Data Architecture and Integration - Integrate diverse data sources by designing and implementing scalable high performance data pipelines and infrastructure.
• Build ETL processes using a variety of methods to facilitate efficient movement of data between systems
• Incorporate best practices to ensure data pipelines are robust and include error handling and alerting.
• Data Model: Design data models that turn complex organizational data into easy to use data structures ensuring seamless flow for operational, analytics and reporting needs.
• Use DBT or Snowflake native capabilities to transform data and ensure data is accurate and up to date.
• Optimize data structures and queries to ensure efficient data storage and retrieval.
• Data Quality: Implement and enforce data quality standards to ensure the accuracy and reliability of educational data used in academic assessments globally.
• Collaboration: Collaborate with cross-functional teams, including analysts and business stakeholders, to understand unique data requirements for data processing or analytics needs.
• Security: Implement and maintain data security measures to protect sensitive information, ensuring compliance with international data privacy regulations.
• Snowflake Expertise: Possess expertise in Snowflake for effective data warehousing, transformations, data sharing, and structured management in a cloud-based environment.
• Documentation: Create and maintain comprehensive documentation for data engineering processes, systems, and workflows
• Team Leadership: Provide technical leadership and mentorship to junior members of the data engineering team, fostering a collaborative environment dedicated to excellence in handling educational data.
• Tableau: Utilize Tableau to deliver data insights using impactful visualizations in a meaningful and actionable manner.

Qualifications:

• Education: Bachelor's or Master's Degree in Computer Science (they’d love this!), Information Technology, or a related field, with a strong emphasis on Data related technologies.
• Experience: Significant experience (usually 5+ years) in data engineering roles, with a focus on designing and implementing scalable data solutions.
• Programming Skills: Proficiency in programming languages such as Python, Java, or Scala.
• Database Knowledge: Expertise in working with both SQL and NoSQL databases, with hands-on experience in database design and optimization. Proficiency in Snowflake is required.
• Knowledgeable of Machine Learning concepts and an interest to grow in the area.
• Cloud Platforms: Experience with cloud platforms like Azure (it's what they use!), AWS, or Google Cloud Platform, and proficiency in leveraging cloud-based.
• Version Control: Knowledge of version control systems like Git or Azure DevOps for managing the codebase.
• Problem-Solving Skills: Strong analytical and problem-solving skills to address complex data engineering challenges specific to educational data.
• Communication: Excellent communication skills to effectively collaborate with cross-functional teams and non-technical stakeholders.
• Adaptability: Ability to adapt to evolving technologies and industry best practices in the field of data engineering.

Nice to Have:

• Experience using TIBCO EBX
• Experience using Boomi or other low code ETL tools
• Experience using Azure for Data Engineering tasks i.e. function apps and other Azure functionality that can be used to build data pipelines.