PySpark Developer

PySpark Developer Location: Tampa, FL, USA 33610 Work Model: Hybrid – 3 days onsite, 2 days remote Employment Type: Temp to Hire / Full‑Time, 6 months Hourly Rate: $65.00 – $75.00 Responsibilities Lead design, architecture, and development of mission‑critical data pipelines and enterprise data models. Bridge complex business requirements with scalable data architecture. Serve as a hands‑on technical contributor and architectural guide: mentor junior developers, establish best practices, and ensure high performance, resilience, and compliance. Design and implement robust logical and physical data models for OLTP and OLAP workloads, leading transition from legacy to modern cloud/hybrid architectures. Architect, build, and deploy highly scalable PySpark data pipelines processing massive volumes of financial data with low latency. Write, tune, and optimize complex SQL queries; troubleshoot performance bottlenecks; implement data partitioning, indexing, and clustering. Review code, establish CI/CD best practices for data engineering, and ensure design adherence to architectural blueprint. Partner with product managers, business analysts, and downstream consumers to translate financial requirements into technical deliverables. Assess risk and ensure compliance with data governance laws and regulations to safeguard client data. Qualifications 10+ years overall software/data engineering experience, with 4–5 years at a senior/lead/architectural level within a large enterprise (financial services preferred). Production‑level expertise in Apache Spark using Python (PySpark); deep understanding of Spark internals (DAGs, shuffling, memory management, optimization). Advanced data modeling: proven track record building Star/Snowflake schemas, Data Vault, or 3NF from scratch; experience with modeling tools such as Erwin or Hackolade. Expert proficiency in SQL and experience with large relational databases (Oracle, PostgreSQL) and modern data warehouses/lakes (Snowflake, BigQuery, Hive/Hadoop). Clear understanding of distributed systems, ETL/ELT patterns, and enterprise data warehousing principles. Strong communication skills – able to translate complex technical concepts to non‑technical stakeholders. Preferred Qualifications Familiarity with 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. Benefits Benefits for this position are available online. For questions or concerns, contact the HR Department via the secure website. Legal Statements Only those lawfully authorized to work in the designated country will be considered. Please note that all position start dates and durations are estimates and may be adjusted based on business needs. Equal Opportunity Employer 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 completing this application or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, contact the HR Department. California Pay Equity For information and details on pay equity laws in California, visit the State of California Department of Industrial Relations website for details. Compliance Rose International participates in the E‑Verify program (ID #132522) in accordance with federal regulations. #J-18808-Ljbffr Rose International