Kforce has a client in Tampa, FL that is seeking a Senior Data Engineer.
Data Warehouse Design and Management:
Collaborate with cross-functional teams to design, develop, and optimize data warehouse solutions tailored to business requirements
Create and maintain data models, schemas, and structures for efficient storage and retrieval of data
Monitor and enhance data warehouse performance and scalability to accommodate growing data volumes
ETL Development:
Design and implement ETL processes to extract data from various sources, transform it to meet business needs, and load it into the data warehouse
Develop and maintain ETL pipelines using industry best practices and tools
Data Lake Implementation:
Work with the team to design and build scalable data lake solutions for storing raw and processed data
Implement data governance and security measures to ensure data integrity and compliance
Reporting and Analytics:
Collaborate with stakeholders to understand reporting requirements and design effective dashboards, visualizations, and reports
Develop reporting solutions that provide actionable insights to drive business decisions
Database Management:
Administer and optimize PostgreSQL, MySQL, and other database systems to ensure high availability, performance, and data integrity
Monitor database performance and troubleshoot issues as they arise
Scripting and Automation:
Utilize Python scripting to automate data processing tasks, data quality checks, and other routine operations
REQUIREMENTS:
Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
Proven experience (5-7 years) as a Data Warehouse Engineer, ETL Developer, or similar role
Strong proficiency in PostgreSQL, MySQL, and other relational databases
Expertise in designing and optimizing data warehouse solutions
Proficiency in ETL tools and processes
Experience with data lake architecture and management
Advanced knowledge of Python programming for data manipulation and automation
Familiarity with reporting and analytics tools such as Tableau, Power BI, or similar
Strong problem-solving skills and the ability to work in a collaborative team environment
Excellent communication skills to interact with technical and non-technical stakeholders
Preferred:
Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services
Knowledge of data governance, security, and compliance best practices
Familiarity with data streaming technologies (e.g., Kafka, Spark Streaming)
Certification in relevant areas (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer)
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.
