Data Engineer

• Contribute on a team of data engineers through design, demand delivery, code reviews, release management, implementation, presentations, and meetings.
• Mentor fellow data engineers and contribute to ongoing process improvements for the team
• Evaluate business needs and objectives and align architecture/designs with business requirements
• Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources
• Assemble large, complex data sets and model our data in a way that meets functional / non-functional business requirements
• Create data tools for analytics team members that assist them in generating innovative industry insights that provide our business a competitive advantage
• Implement data tagging mechanisms and metadata management so data is accurately classified and visible to the organization
• Build processes to help identify and improve data quality, consistency and effectiveness
• Ensure our data is managed in a way that it conforms to all information privacy and protection policies
• Use agile software development processes to iteratively make improvements to our data management systems

Senior Data Engineer

Lead Data Engineer

Junior Data Engineer

Data Engineer II, AWS, Databricks

Senior Data Engineer

ETL Data Engineer, Databricks