Lead Specialty Software Engineer

RESPONSIBILITIES:Kforce has a client that is seeking a Lead Specialty Software Engineer. This role is open to candidates in the following locations: Charlotte & Raleigh, NC; Irving & San Antonio, TX; Phoenix, AZ; Minneapolis, MN; Des Moines, IA; Denver, CO; St. Louis, MO; Salt Lake City, UT; Seattle, WA; Philadelphia, PA; Chicago, IL; Boston, MA; Palo Alto, CA; Jersey City, NJ; NYC, NY.Responsibilities: The Lead Specialty Software Engineer will lead complex initiatives on selected domains. Ensure systems are monitored to increase operational efficiency and managed to mitigate risk Define opportunities to maximize resource utilization and improve processes while reducing cost. Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies Resolve coding, testing and escalated platform issues of a technically challenging nature As a Lead Specialty Software Engineer, you will lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives Mentor less experienced software engineers Collaborate and influence all levels of professionals including managers Lead team to achieve objectives The Lead Specialty Software Engineer will partner with production support and platform engineering teams effectivelyREQUIREMENTS: 7+ years of Big Data Platform (data lake) and data warehouse engineering 5+ years of experience with Hadoop stack: HDFS, Hive, SQL, Spark, Spark Streaming, Spark SQL, HBase, Kafka, Sqoop, Atlas, Flink, Kafka, Cloudera Manager, Airflow, Impala, Hive, HBase, Tez, Hue, and a variety of source data connectors Very strong Python and other functional programming skills Hands-on experience designing and building microservices, APIs and, MySQL Hands-on experience with building modern, resilient, and secure data pipelines, including movement, collection, integration, transformation of structured/unstructured data with built-in automated data controls, and built-in logging/monitoring/alerting, and pipeline orchestration managed to operational SLAs Hands-on experience developing and managing technical and business metadata Hands-on experience creating/managing Time-Series data from full data snapshots or incremental data changesThe pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.This job is not eligible for bonuses, incentives or commissions.Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.