NEW JOB OPENING PYSPARK DEVELOPER IN TAMPA, FL, USA!

Job Description
Preferred Education:
• Bachelor's Degree

Required Qualifications/Skills/Experience:
• Experience: 10+ years of overall software/data engineering experience, with a minimum of 4-5 years operating at a senior, lead, or architectural level within a large enterprise (financial services experience is highly preferred).
• PySpark Mastery: Production-level expertise in Apache Spark using Python (PySpark). Must understand Spark internals (DAGs, shuffling, memory management, and optimization techniques).
• Data Modeling: Proven track record of building complex data models from scratch (Star/Snowflake schemas, Data Vault, or 3NF). Experience using data modeling tools (e.g., Erwin, Hackolade, or similar).
• Database & SQL: Expert-level proficiency in SQL. Extensive hands-on experience with massive relational databases (e.g., Oracle, PostgreSQL) and modern data warehouses/lakes (e.g., Snowflake, BigQuery, or Hive/Hadoop).
• Systems Design: Clear understanding of distributed systems processing, ETL/ELT design patterns, and enterprise data warehousing principles.
• Communication: Demonstrated ability to translate complex technical concepts into clear, concise language for non-technical stakeholders and business leaders.

Preferred Qualifications/Skills/Experience:
• Familiarity with modern orchestration tools (Airflow, Control-M).
• Experience with real-time data streaming (Kafka).
• Prior experience navigating data governance and data quality frameworks within a heavily regulated banking environment.

We are seeking a highly experienced PySpark Developer to lead the design, architecture, and development of mission-critical data pipelines and enterprise data models.
• As a senior technical leader, you will bridge the gap between complex business requirements and highly scalable data architecture.
• The ideal candidate possesses deep expertise in PySpark, advanced SQL optimization, and enterprise data modeling.
• You will not only be a hands-on technical contributor but also serve as an architectural guide, mentoring junior developers, establishing best practices, and ensuring that data solutions are highly performant, resilient, and aligned with Client
global technology standards.

Job Duties:
• Architecture & Data Modeling: Design and implement robust logical and physical data models for both transactional (OLTP) and analytical (OLAP) workloads. Lead the transition from legacy data structures to modern, scalable cloud/hybrid
architectures.
• Pipeline Engineering: Architect, build, and deploy highly scalable data pipelines using PySpark to process massive volumes of complex financial data with low latency.
• Advanced SQL & Database Optimization: Write, tune, and optimize complex SQL queries. Troubleshoot query performance bottlenecks and implement data partitioning, indexing, and clustering strategies.
• Technical Leadership: Serve as a Subject Matter Expert (SME) for the data platform. Review code, establish CI/CD best practices for data engineering, and ensure all design adheres to the overall architectural blueprint.
• Stakeholder Collaboration: Partner with product managers, business analysts, and downstream consumers (Data Science and BI teams) to translate complex financial business requirements into technical deliverables.
• Risk & Compliance: Appropriately assess risk when architectural decisions are made, demonstrating consideration for the firm's reputation and safeguarding Client data by driving compliance with applicable data governance laws, rules, and
regulations.

#CT1

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**

Benefits:
For information and details on employment benefits offered with this position, please visit here . Should you have any questions/concerns, please contact our HR Department via our secure website .

California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here .

Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.

If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department .

Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).