Date Posted: 06/03/2026
Hiring Organization: Rose International
Position Number: 502239
Industry: Financial Services
Job Title: PySpark Scala Developer
Job Location: Tampa, FL, USA, 33610
Work Model: Hybrid
Work Model Details: 3 days onsite and 2 days remote
Shift: Standard Work Hours
Employment Type: Temp to Hire
FT/PT: Full-Time
Estimated Duration (In months): 6
Min Hourly Rate($): 50.00
Max Hourly Rate($): 54.00
Must Have Skills/Attributes: Banking/Financial, Big Data, Flink, Hadoop, PySpark, Scala, Spark, Zookeeper
Experience Desired: HDFS architecture, data storage, and fault tolerance mechanisms experience (5-8+ yrs); Experience with HDFS commands and administration (5-8+ yrs)
Preferred Education: Bachelor’s Degree
**C2C is not available**
Job Description
Preferred Education
• Bachelor's Degree
Required Qualifications/Skills/Experience
• Experience Level: 5 to 8+ years of hands-on data engineering and software development experience, preferably within a large enterprise or financial services environment.
• Programming Languages: Strong proficiency in Scala and Python (PySpark) for data processing.
• Hadoop/HDFS Expertise:
o In-depth understanding of HDFS architecture, data storage, and fault tolerance mechanisms.
o Experience with HDFS commands and administration.
o In-depth knowledge of HDFS architecture, fault tolerance, and hands-on experience with HDFS administration commands.
• Distributed Systems:
o Fundamental understanding of MapReduce programming paradigm, even if primary development is in Spark/Flink.
o Foundational understanding of the MapReduce programming paradigm and experience with cluster coordination tools, specifically ZooKeeper.
o Knowledge of Zookeeper for distributed coordination services.
• Spark/Flink:
o Proven track record of deploying production-level Apache Spark (or Flink) applications.
• Onsite Requirement:
o Must be willing and able to work onsite in the Tampa, FL office 3 days a week.
Preferred Qualifications/Skills/Experience
• Experience with workflow orchestration tools (e.g., Apache Airflow, Oozie).
• Familiarity with streaming technologies such as Apache Kafka.
• Knowledge of modern cloud data platforms (AWS, GCP, or Snowflake) as enterprise environments modernize.
• Understanding of CI/CD pipelines and automated testing in a Big Data environment.
• We are seeking a highly skilled C12 PySpark/Scala Developer to join our data engineering team.
• The ideal candidate will have deep hands-on experience in the Hadoop ecosystem, specializing in distributed systems, data storage, and high-performance processing pipelines.
• In this role, you will be responsible for developing scalable data solutions using PySpark and Scala, while maintaining a strong foundational knowledge of legacy and modern distributed architectures.
• You will work closely with cross-functional teams to design, build, and optimize data pipelines that handle massive volumes of critical financial data.
Job Duties
• Pipeline Development:
o Design, develop, and deploy highly scalable Big Data pipelines using PySpark and Scala to process large-scale datasets.
• Hadoop Ecosystem Management:
o Utilize in-depth understanding of HDFS architecture, data storage, and fault-tolerance mechanisms to optimize data reliability and accessibility.
• System Administration & Coordination:
o Execute HDFS commands for administration and leverage ZooKeeper for distributed coordination services and cluster management.
• MapReduce Integration:
o Apply a fundamental understanding of the MapReduce programming paradigm to optimize workloads and integrate seamlessly with primary development in Spark/Flink.
• Code Quality & Optimization:
o Write clean, efficient, and well-documented code.
o Conduct performance tuning and troubleshoot bottlenecks in distributed data processing jobs.
• Collaboration:
o Work alongside data architects, business analysts, and downstream consumers to ensure data solutions meet strict business requirements and regulatory compliance standards.
#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.).
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