Railroad19, Inc - Scala Senior Software Engineer (Spark)(Data Engineer -Hybrid)-

• At Railroad19, Inc, we develop customized software solutions and provide software development services. We’re a specialized team of developers and architects. As such, we only bring an “A” team to the table, through hard work and a desire to lead the industry — this is our company culture — this is what sets Railroad19 apart. • As a Railroad19 employee, you will be part of a company that values your work and gives you the tools you need to succeed. Our headquarters is in Saratoga Springs, New York, but this position is 100% remote. Railroad19 provides competitive compensation and excellent benefits~ including Medical/Dental/Vision/Pet Insurance, Paid Time Off, and 401 (k). • NO 1099, C2C, Corp-to-Corp, only full-time employment. • NO Agencies. • Understand our client's fast-moving business requirements • Negotiate appropriate solutions with multiple stakeholders • Write and maintain scalable enterprise-quality software • Develop new applications and production application support • Participate in detailed technical design, development, implementation, and support of Big Data applications using existing and emerging technology platforms. • Work with large streams of data with tools like Spark and Kafka. • Manage the complete software development life cycle • Writing functional and unit tests in order to maintain code quality • Develop understanding of client business processes, objectives, and solution requirements. • Participate in project work groups with subject matter experts and stakeholders to understand data specific needs • Collaborate with other teams in order to deliver a highly performance application that contains little or no defects • Identify new opportunities, tools, and services to enhance the custom software platform • Support and troubleshoot issues (process & system), identify root cause, and proactively recommend sustainable corrective actions • Advanced Scala development-based software solutions, Scala 2.12/2.13 • Strong experience with Spark and Kafka, working with large streams of data, and experience building data pipelines • Enterprise experience with NoSQL implementation, including stream processing • Experience with database design and modeling - logical and physical, ETL development, performance tuning - table partitioning and indexing, process threading, and database storage sizing and maintenance • Demonstrates willingness to learn new technologies and takes pride in delivering working software • Excellent oral and written communication skills, analytical, and problem-solving skills • Bachelor's or master's degree in computer science, computer engineering, or other technical discipline; or equivalent work experience • No Agencies***This is a non-management positionThis is a full-time position