Position Overview As a Senior Data Engineer (multiple openings), you will work independently to design strategies for enterprise database systems and set standards for operations, programming, and security. 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. Essential Duties Responsibilities: Will Design and construct large relational databases. Integrate new systems with existing warehouse structure and refine system performance and functionality. Will serve as a data expert who understands how a client s data fits into our Industry Intelligent data models. Utilizing this knowledge and the industry s newest technologies, will create high performance databases that become the very foundation of the work we do. Will build and own one source of truth data sets to facilitate consistency and efficiency in extracting and analyzing data from disparate data sources. Will ensure data integrity by developing and executing necessary processes and controls around the flow of data. Will apply mathematical skills and knowledge in combination with computer science and programming skills and knowledge to innovate and improve efficiency of managing data to allow for greater speed and accuracy of producing analyses, metrics, and insights. Will 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. Will provide 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. In the performance of these complex and highly technical responsibilities, will use 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. Will verify the accuracy of table changes and data transformation processes as well as test changes prior to deployment as appropriate. Will be called on to recommend and implement enhancements that standardize and streamline processes, assure data quality and reliability, and reduce processing time to meet client expectations. Will stay up-to-date on data engineering and data science trends and developments and will follow company policy and procedures which protect sensitive data and maintain compliance with established security standards and best practices. Will perform other related professional responsibilities as may be needed. Required Skills: Requires Bachelor s degree/foreign equivalent in Computer Science, Computer Engineering, Mathematics, or a related field. Requires 5 years of work experience, to include: 5 years of experience with relational database structures, data lake management, and SQL; 5 years of experience in data architecture designing and programming ETL procedures; 5 years of experience working with commercial relational database systems (such as electronic medical records or other clinical systems, client relationship management software, sales and online marketing data systems, or accounting systems); 5 years of experience with one of the following: PHP, Java, or Python; 5 years of experience with data management methodologies and data quality assurance practices; and Ability to professionally communicate ideas (verbal and written). Experience may be gained concurrently. May also hold a Master s degree/foreign equivalent in above areas with 3 years of above experience. Whats in it for You Opportunity to work with a rapidly expanding tech company in the booming field of data analytics alongside some of the brightest minds in the industry Opportunity to work with cutting-edge technology in a casual, fun environment Opportunity to be a part of a local company committed to making a difference in our community Competitive salary and benefits package including health, vision, dental and life insurance and 401(k) plan.

Position Overview 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 Industry Intelligent 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. Senior 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 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 Preferred Skills: Bachelor s degree in Computer Science, Computer Engineering, Mathematics, or related field, or 3+ years of relevant work experience Four or more years experience working as a Data Engineer Experience working with relational database structures, SQL and/or flat files and performing table joins, web crawling, and web development Proficiency in one or more of the following programming languages: PHP, Java, or Python and a familiarity with Node.js Experience working with commercial relational database systems such as electronic medical records or other clinical systems, client relationship management software, or accounting systems Familiar with various data management methodologies, data exploration techniques, data quality assurance practices, and data discovery/ visualization tools Prior experience supporting business intelligence operations, managing technical, business, and process metadata related to data warehousing preferred Experience working with NoSQL, Hive, MapReduce, and other Big Data technologies is preferred but not required; willing to train the right candidate Natural curiosity about what s hidden in the data through exploration, attention to detail, and ability to see the big picture similar to putting together a 10,000-piece puzzle Resourceful in getting things done, self-starter, and productive working independently or collaboratively ours is a fast-pace entrepreneurial environment with performance expectations and deadlines Ability to professionally communicate your ideas (verbal and written) Share our values: growth, relationships, integrity, and true grit Whats in it for You Opportunity to work with a rapidly expanding tech company in the booming field of data analytics alongside some of the brightest minds in the industry Opportunity to work with cutting-edge technology in a casual, fun environment Flexible schedule and paid time off Competitive salary and benefits package