Title : Sr. Backend Data Engineer Location : Washington PA/Hunt Valley MD/Hallandale Beach FL (Remote) Position Type : Direct Hire Salary : $140,000 annually Job Description The Sr. Backend Data Engineer position works cross-functionally with business domain experts, analytics, and engineering teams to design and implement new data solutions. This position designs and implements scalable data pipelines transforming various data types into actionable data models, enabling actionable insights. This position provides hands-on technical support to build trusted and reliable data sources and products. The role is experienced in modern data architecture including Cloud ETL (Extract Transform Load) processes and implementations, Cloud services, data warehousing, databases, data pipelining tools, data visualization and communication, reporting, and performance tuning. With an emphasis on effective collaboration with key stakeholders, the Data Engineer role is responsible for assessing business requirements, collection, and identification of technical specifications and the subsequent development of technical solutions. The Data Engineer role is a crucial contributor to the successful delivery of business intelligence information to the entire organization. Responsibilities: • Collaborates and participates in the design and implementation of robust and scalable data solutions ensuring all systems meet the business/company requirements as well as industry best practices • Builds modern data pipelines from streaming data services and gRPC/RESTful APIs leveraging open-source frameworks • Champions agile development, continuous deployment and integration, elegant design, and teamwork • Documents technology specifications and ensures any new technology solutions are optimal for meeting needs; leverages existing technologies when possible • Translates business requirements into data models that are easy to understand and used by different disciplines across the company • Works collaboratively with analytics and development teams to create standards and best practices for data engineering solutions • Partners with domain business experts, data analysts, and engineering teams to build foundational data sets and products that are trusted, well understood, aligned with business strategy and enables self-service • Continually works to improve data reliability and quality and supports ongoing incorporation of new data sources • Develops quality framework to ensure delivery of high-quality data and analyses to stakeholders • Identifies, documents, and promotes best practices • Troubleshoots and solves data product issues • Performs other duties as assigned Experience & Education: • Bachelor’s degree in Computer Science, Software Engineering, Data Science or related field; or 7 years of related experience in lieu of degree. • 4+ years of experience in a technical role supporting data engineering efforts. This should include application of knowledge in modern data architecture, statistics, data wrangling, data visualization, and communication • 4+ years of experience with database design, development and management. This includes: ETL processing, data modeling, complex querying, performance tuning, and creating stored procedures/functions • 3+ years of programming experience using one or more of Python, Java or C#.NET • 3+ years working with Cloud platforms and technologies • Prior experience using batch and streaming services to develop complete data pipelines • Comfortable contributing to a nascent data ecosystem and building a strong data foundation for the company • Proven track record of successfully delivering large data-centric projects • A broad, enterprise-wide view of the business with the understanding of the roles of strategy, processes, and capabilities, enabling technologies and governance • Strong skills in design and implementation of logical and physical approaches to managing and analyzing large volumes of data with knowledge of best practices • Understanding of Agile/Scrum development environment • Strong relationship management skills; able to interface effectively with all organizational levels: users, team members, and management • Ability to produce high-quality documentation of business and system requirements, system design, data architecture, and training materials • Experience managing multiple projects simultaneously with a team spanning various geographical locations and outsourcing • Individual must be willing and able to become an expert about the industry • Effective, consistent, and impeccable communication, interpersonal, leadership, organizational, people management, presentation, project management, teamwork, and training skills • Self-starter, self-motivator, detail-oriented, highly organized • Structured problem solving and expert prioritization skills • Demonstrates and maintains flexibility and adapts to changes within industry and company Preferred Experience and/or Education: • Master’s degree in Computer Science, Software Engineering or related field; Experience with data visualization tools such as Periscope; Wagering/gaming industry experience; Knowledge of horse racing, pari-mutuel wagering, gaming, sports wagering and/or social marketplace industries