Data Modeler
Rose International · Tampa, FL
- On site
- Full-time
- $156,000 / year
- Tampa, FL
✓ Hiring manager found for this role
Email the hiring manager to get a response.
Get their verified email + an intro that's ready to send.
Data Modeler
Rose International · Tampa, FL
Riley Chen
Hiring Manager · h•••••@roseint.com
✍️ Your intro emailReady to send
Subject: Interested in the Data Modeler role at Rose International
Hi Riley — I came across the Data Modeler opening and wanted to reach out directly. I've spent the last few years doing exactly this kind of work, and Rose International stood out because…
🔒 Unlock to read & send
✎ Personalized to your résumé after sign-up.
$1 once
Just this hiring manager
Best value
$9/mo
Unlimited — any job, anywhere
- ✓ Verified email of the hiring manager
- ✓ Intro email personalized to your résumé
- ✓ $9/mo = unlimited — any job link
Secure checkout · cancel anytime
View the original posting ↗
Not recommended alone — most applicants never hear back.
Job highlights
- Data Modeler role in financial services.
- Develop data pipelines using Python, Java, Spark.
- Expertise in Big Data and NoSQL databases.
- Utilize AI tools for data modeling tasks.
- Hybrid work model in Tampa, FL.
About the role
Data Modeler at Rose International
Rose International is seeking a Data Modeler with expertise in big data processing, Python, Java, and Apache Spark, particularly within the finance domain. The ideal candidate will have strong experience working with financial instruments, market risk, and large-scale distributed computing systems. This role involves developing and optimizing data pipelines for risk calculations, trade analytics, and regulatory reporting.
Responsibilities:
- Develop and optimize scalable Java Spark-based data pipelines for processing and analyzing large-scale financial data.
- Design and implement distributed computing solutions for risk modeling, pricing, and regulatory compliance.
- Ensure efficient data storage and retrieval using Big Data technologies.
- Implement best practices for Spark performance tuning, including partitioning, caching, and memory management.
- Maintain high code quality through testing, CI/CD pipelines, and version control (Git, Jenkins).
- Work on batch processing frameworks for Market risk analytics.
- This team is transitioning from a Sybase/SQL environment to a Big Data platform.
- The main focus is Big Data and Data Modeling, with the role being more data modeling focused than pure programming.
- Python is more important than Java; some Java experience is required.
Required Qualifications/Skills/Experience:
- 7+ years of experience in data modeling, Python, Java, Spark, and Big Data frameworks.
- Strong proficiency in Python and Java Spark with knowledge of core Spark concepts (RDDs, Dataframes, Spark Streaming, etc.).
- Hands-on experience with Hadoop, Spark.
- Proficiency in Git, Jenkins, and CI/CD pipelines.
- Excellent problem-solving skills and a strong mathematical and analytical mindset.
- Ability to work in a fast-paced financial environment.
- Candidate must understand data architecture and data modeling concepts.
- Experience with both SQL and NoSQL databases is required, with strong NoSQL knowledge being more important than SQL.
- Candidate should clearly understand the differences between SQL and NoSQL databases.
- AI exposure/understanding is required (Devin AI, GitHub Copilot, Cortex, Claude, and Gemini are currently used).
- Strong critical thinking, communication, empathy, and soft skills are important for the role.
- Bachelor’s Degree.
Preferred Qualifications/Skills/Experience:
- Experience working in financial services, financial markets, risk management, and financial instruments.
- Familiarity with market risk concepts, including VaR, Greeks, scenario analysis, and stress testing.
- Any data modeling tool experience is acceptable; this team uses a proprietary data modeling tool.
Key skills/competency:
- Data Modeler
- Data Modeling
- Python
- Java
- Spark
- Big Data
- SQL
- NoSQL
- AI Models
- Credit Risk
Skills & topics
- Data Modeler
- Data Modeling
- Python
- Java
- Spark
- Big Data
- SQL
- NoSQL
- AI Models
- Credit Risk
- Banking
- Financial Services
- Hybrid
- Tampa
- Temp to Hire
How to get hired
- Tailor your resume: Highlight your 7+ years of experience in data modeling, Python, Java, Spark, and Big Data technologies, emphasizing SQL and NoSQL databases.
- Showcase AI exposure: Clearly state your experience with AI tools like Devin AI, GitHub Copilot, Claude, or Gemini in your application.
- Demonstrate financial acumen: Emphasize any experience in financial services, risk management, financial instruments, or regulatory reporting.
- Prepare for technical questions: Be ready to discuss your understanding of data architecture, data modeling concepts, and Spark core concepts.
- Highlight soft skills: Prepare examples demonstrating your problem-solving, critical thinking, communication, and empathy.
Technical preparation
Master Spark RDDs, Dataframes, and Spark Streaming.,Practice designing and implementing NoSQL databases.,Build data pipelines using Python and Java.,Familiarize with Git, Jenkins, and CI/CD.
Behavioral questions
Describe a complex data modeling challenge.,How do you handle fast-paced financial environments?,Explain your critical thinking process for problem-solving.,Provide an example of empathy in a team setting.
Prefer to apply the usual way?
Not recommended alone — most applicants never hear back. Email the hiring manager first.
Frequently asked questions
- What specific AI tools does Rose International use for Data Modeling in this role?
- The team at Rose International currently utilizes Devin AI, GitHub Copilot, Cortex, Claude, and Gemini for data modeling tasks. Demonstrating familiarity or experience with these or similar AI tools will be beneficial for Data Modeler candidates.
- How important is NoSQL experience compared to SQL for this Data Modeler position?
- For this Data Modeler role at Rose International, strong NoSQL knowledge is considered more important than SQL. While experience with both is required, candidates with a deeper understanding and practical application of NoSQL databases will be more competitive.
- What is the work model for the Data Modeler position at Rose International in Tampa, FL?
- This Data Modeler position at Rose International operates on a hybrid work model. Employees are expected to be onsite three days a week, specifically on Mondays, Tuesdays, and Fridays, with flexibility on those days.
- What educational background is required for the Data Modeler role?
- A minimum of a Bachelor’s Degree is required for the Data Modeler position at Rose International. While specific fields are not strictly mandated, a background in a quantitative or technical field would be advantageous.
- What are the primary responsibilities of the Data Modeler role at Rose International?
- The Data Modeler will focus on developing and optimizing scalable Java Spark data pipelines for financial data analysis, designing distributed computing solutions for risk modeling, implementing Big Data storage, and tuning Spark performance. The role emphasizes data modeling over pure programming.
- Is C2C (Contract-to-Contract) an option for this Data Modeler position?
- No, C2C (Contract-to-Contract) is not available for this Data Modeler position at Rose International. This is a direct hire opportunity, specifically a Temp to Hire role.
- What is the estimated duration of the Data Modeler contract?
- The estimated duration for this Temp to Hire Data Modeler position is 7 months. However, please note that all position start dates and durations are estimates and may be adjusted based on client needs.
- What are the must-have skills for this Data Modeler role?
- The must-have skills include 7+ years in data modeling, Python, Java, Spark, Big Data, GIT, NoSQL, SQL, AI Models, Banking/Financial, Credit Risk, and Regulatory Reporting.