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Kinetica Consultant - Full Time

Tampa, FL, US • Posted 1 day ago • Updated 22 minutes ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Modeling
Python
SQL
REST API
Data Engineering
Performance tuning
Financial services
data ingestion
Kinetica Database
Capital Markets / Trading
Kinetica

Summary

Position: Kinetica Consultant

Location: Tampa, FL (or) Irving, TX (Onsite)

Job Type: Full Time

Job Description:

Kinetica, Python, sql, Rest API, Design, develop, and maintain highly efficient and scalable data models within the Kinetica database to support complex analytical and forecasting requirements.
Perform advanced performance tuning and optimization of Kinetica queries and data structures to ensure real-time processing capabilities.
Utilize native Kinetica APIs and develop custom Python User-Defined Functions (UDFs) to implement complex business logic and data processing pipelines.
Work within an Agile team to collaborate with data scientists, analysts, and application developers to translate business needs into technical solutions.
Drive innovation in our data architecture by evaluating and implementing new Kinetica features and industry best practices for performance improvement.
Ensure data integrity and quality by designing and implementing robust data ingestion and validation processes.
Troubleshoot and resolve complex data-related issues, providing expert guidance on Kinetica best practices.
Demonstrate a strong ability to bring new ideas for performance improvement and system optimization to the team.

NOTE:
This is a highly specialized Kinetica Database Developer / Kinetica Data Engineer role focused on high-performance analytics, real-time processing, and database optimization.

Core (Must-Have) Skills:

Kinetica Database
Python
SQL
REST APIs
Data Modeling
Query Optimization
Performance Tuning
Real-Time Analytics
Data Engineering
Data Ingestion Pipelines
Python UDF Development
Database Architecture
Agile/Scrum

Key Responsibilities:

Design, develop, and maintain scalable data models within Kinetica.
Optimize Kinetica queries and data structures for low-latency, real-time analytics.
Develop custom Python UDFs and leverage Kinetica native APIs.
Build robust data ingestion, validation, and transformation pipelines.
Collaborate with data scientists, analysts, and application teams.
Troubleshoot complex performance and data-related issues.
Evaluate new Kinetica capabilities and implement best practices.
Drive database performance improvements and architectural enhancements.

Preferred Background:

Candidates from the following domains are often a strong fit:

Capital Markets / Trading
Financial Services
Telecommunications
IoT & Sensor Analytics
Geospatial Analytics
High-Volume Data Processing Environments
Real-Time Decisioning Platforms

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.

Dice Id: 91091604
Position Id: 2026-4518
Posted 1 day ago

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