Data Engineer

Position Overview

At the heart of our Platform team are our super talented Data Engineers.  Data Engineers are data experts who dive right into new client projects and make it their job to understand how a client’s data fits into our data models.  Utilizing this knowledge and the industry’s newest technologies, they create high performance databases that become the very foundation of the work we do.  Critical at all stages of the data science process, Data Engineers work cross-functionally with both external and internal teams – from business analysts to data scientists; web app developers to platform engineers; IT teams to high-level executives.  Data Engineers also provide valuable feedback to our software team that helps to shape the development of Aunsight, our proprietary end-to-end cloud analytics platform; and the development of our proprietary web applications.  The best Data Engineers are patient, persistent, focused, creative, and incredibly curious.  They love to learn and seek out opportunities to identify unexpected solutions or develop alternate ways to solve challenging problems.

Essential Duties & Responsibilities :

• Build and own “one source of truth” data sets to facilitate consistency and efficiency in extracting and analyzing data from disparate data sources
• Ensure data integrity by developing and executing necessary processes and controls around the flow of data
• Innovate and improve efficiency of managing data to allow for greater speed and accuracy of producing analyses, metrics, and insights
• Collaborate with internal and external teams to understand business needs / issues, troubleshoot problems, conduct root cause analysis, and develop cost effective resolutions for data anomalies
• Provides input into data governance initiatives to enhance current systems, ensure development of efficient application systems, influence the development of data policy, and support overall corporate and business goals
• Utilize technology to analyze data from applicable systems to review data processes, identify issues, and determine actions to resolve or escalate problems that require data, system, or process improvement
• Verify accuracy of table changes and data transformation processes. Test changes prior to deployment as appropriate
• Recommend and implement enhancements that standardize and streamline processes, assure data quality and reliability, and reduce processing time to meet client expectations
• Communicate progress and completion to project team.  Escalate roadblocks that may impact delivery schedule
• Stay up-to-date on data engineering and data science trends and developments
• Follow company policy and procedures which protect sensitive data and maintain compliance with established security standards and best practices
• Additional duties as assigned to ensure client and company success

Required Skills :

What's in it for You?