Overview
On Site
$102,000 - $138,000 annually
Full Time
Skills
Team Leadership
Mentorship
DevOps
Reporting
Data Quality
Project Implementation
Management
Collaboration
Project Delivery
Stakeholder Engagement
Quality Assurance
Data Governance
Cloud Computing
People Management
Data Engineering
FOCUS
Data Warehouse
Legacy Systems
Data Modeling
SQL
Scripting
Programming Languages
Python
Windows PowerShell
Agile
JIRA
Coaching
Snow Flake Schema
ELT
Extract
Transform
Load
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a Manager Data Engineering in Miami, FL (Florida).
Responsibilities:
* Data Warehousing and Legacy System Management: Lead the development and maintenance of data warehousing solutions; Manage legacy integrations and data application enhancements
* Team Leadership: Direct and mentor a team of data developers and engineers; Ensure team alignment with project goals and company objectives
* Lead architecture decisions and able to manage vendor partners
* Work with Product Owners, DevOps and Prioritize activities and manage delivery through Agile methodologies
* Provide transparency through reporting on backlog, data quality metrics, and platform health
* Project Execution: Manage the execution of data engineering projects ensuring they meet defined objectives; Collaborate with cross-functional teams for integrated project delivery
* Technical Guidance: Provide technical expertise in data warehousing technologies and legacy systems; Stay updated on industry trends to guide the team effectively
* Stakeholder Engagement: Work closely with the Senior Manager and other stakeholders to align data engineering efforts with business needs; Communicate project progress and challenges effectively
* Quality Assurance: Ensure adherence to best practices in data governance and security. Maintain high standards of quality in data engineering outputs
* Perform other job-related functions as assigned
REQUIREMENTS:
* Bachelor's degree in Business Management, Computer Science, Industrial Engineering, or related
* Minimum of 7 years of experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions
* 2+ years of experience managing team
* Experience in data engineering with a focus on data warehousing and legacy systems
* Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell
* Experience with Agile methods & tools like JIRA
* Experience leading and coaching team members
* Experience/exposure with Snowflake, dbt, Matillion and any ELT/ETL tools
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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client that is seeking a Manager Data Engineering in Miami, FL (Florida).
Responsibilities:
* Data Warehousing and Legacy System Management: Lead the development and maintenance of data warehousing solutions; Manage legacy integrations and data application enhancements
* Team Leadership: Direct and mentor a team of data developers and engineers; Ensure team alignment with project goals and company objectives
* Lead architecture decisions and able to manage vendor partners
* Work with Product Owners, DevOps and Prioritize activities and manage delivery through Agile methodologies
* Provide transparency through reporting on backlog, data quality metrics, and platform health
* Project Execution: Manage the execution of data engineering projects ensuring they meet defined objectives; Collaborate with cross-functional teams for integrated project delivery
* Technical Guidance: Provide technical expertise in data warehousing technologies and legacy systems; Stay updated on industry trends to guide the team effectively
* Stakeholder Engagement: Work closely with the Senior Manager and other stakeholders to align data engineering efforts with business needs; Communicate project progress and challenges effectively
* Quality Assurance: Ensure adherence to best practices in data governance and security. Maintain high standards of quality in data engineering outputs
* Perform other job-related functions as assigned
REQUIREMENTS:
* Bachelor's degree in Business Management, Computer Science, Industrial Engineering, or related
* Minimum of 7 years of experience developing, validating, and implementing data warehouses, data systems or cloud-based data solutions
* 2+ years of experience managing team
* Experience in data engineering with a focus on data warehousing and legacy systems
* Experience with multiple data modeling approaches, SQL, and scripting programming languages like Python and PowerShell
* Experience with Agile methods & tools like JIRA
* Experience leading and coaching team members
* Experience/exposure with Snowflake, dbt, Matillion and any ELT/ETL tools
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.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.