### Job_Dedcrip:
RESPONSIBILITIES:..Kforce has a client seeking a Lead Full Stack Data Engineer in Miami, FL....Responsibilities:..* Lead Full Stack Data Engineer will develop and integrate data products, such as published datasets, REST/Graphql APIs, and/or a data marketplace, that deliver information and insights to business users in a modern data stack..* Build, integrate and support the full data and analytics stack that includes the enterprise data warehouse, streaming architectures, the enterprise data catalog, and master data management tools..* Drive software engineering and DataOps standards and best practices for data analytics team, including code modularization, versioning, testing, automation/CICD workflows, code reviews..* Partner very closely with the analytics, data product, and data management teams to build and support all core engineering needs across the full data and analytics stack..* Model data from a business perspective..* Develop data analytics tooling to support analysis workflows..* Partner closely with IT product teams to deliver data and insights in a manner that allows business users to understand, interpret, and act within their operational workflows and decision-making processes..* Create intelligent applications that leverage machine learning and artificial intelligence and integrate with IT products..* As a Lead Full Stack Data Engineer, you will work with data/information architects to drive enterprise taxonomy and ontology development to connect disparate data across enterprise and enable 360 insights..* Gain an understanding of core business processes and align data development with business strategy..* Wrangle and integrate data from disparate systems to allow data analysts and data scientists leverage to end-to-end data and information..* Develop data science workflows to optimize artificial intelligence lifecycle...REQUIREMENTS:..* Master's degree preferred (desired in relevant area), or multiple certifications..* 7-10+ years progressive work experience in related fields..* 4-7+ years as a full stack developer and 2-4+ years in developing end-to-end data and analytics products, years of experience may be concurrent..* Expertise across the 'modern data stack' - Snowflake, dbt, Fivetran, Airbyte, Prefect, NoSQL, and similar tools and technologies..* Ability and willingness to quickly learn new technologies..* Demonstrated ability to deliver end-to-end data products that put information and insights into the hands of business users..* Expertise in core software engineering principles (code modularization, versioning, git, testing, CICD, Agile, etc.)..* Expertise in SQL and RDBMS; Experience working with NoSQL database systems..* Strong proficiency in programming languages used in data science, such as Python and R..* Expertise in cloud (Azure, AWS) data ecosystem and workflow automation technologies..* Expertise in data wrangling and integration..* Demonstrated ability to develop data science workflows..* Experience with semantic data modeling and knowledge graphs..* Experience building out the enterprise data fabric according to its prescribed information architecture..* Experience working with product teams and business users to understand how to optimally deliver insights within their operational workflows and decision-making processes..* Demonstrated ability to quantify/measure impact of actions taken based on insights..* Thirst to help transform Lennar into an insights-driven organization..* Ability and willingness to learn about the business, its strategy, objectives, and core business processes..* Proficiency in semantic modeling, and knowledge and ontology engineering (preferred)...The 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.

### Response:

REQUIREMENTS:- Master's degree preferred (desired in relevant area), or multiple certifications- 7-10 years progressive work experience in related fields- 4-7 years as a full stack developer and 2-4 years in developing end-to-end data and analytics products, years of experience may be concurrent- Expertise across the 'modern data stack' - Snowflake, dbt, Fivetran, Airbyte, Prefect, NoSQL, and similar tools and technologies- Ability and willingness to quickly learn new technologies- Demonstrated ability to deliver end-to-end data products that put information and insights into the hands of business users- Expertise in core software engineering principles (code modularization, versioning, git, testing, CICD, Agile, etc.)- Expertise in SQL and RDBMS; Experience working with NoSQL database systems- Strong proficiency in programming languages used in data science, such as Python and R- Expertise in cloud (Azure, AWS) data ecosystem and workflow automation technologies- Expertise in data wrangling and integration- Demonstrated ability to develop data science workflows- Experience with semantic data modeling and knowledge graphs- Experience building out the enterprise data fabric according to its prescribed information architecture- Experience working with product teams and business users to understand how to optimally deliver insights within their operational workflows and decision-making processes- Demonstrated ability to quantify/measure impact of actions taken based on insights- Thirst to help transform Lennar into an insights-driven organization- Ability and willingness to learn about the business, its strategy, objectives, and core business processes- Proficiency in semantic modeling, and knowledge and ontology engineering (preferred)