Data Engineer

Grow your career with an innovative global bank in Tampa, FL as an Data Engineer with strong end-to-end investigation and SAR writing experience. Contract role with strong possibility of extension. Will require working a hybrid schedule 3 days onsite per week. Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you. Contract Duration: 6 Months Required Skills & Experience • Bachelor's degree. • 10+ years of experience in Applications Development, Systems Analysis, or equivalent senior engineering roles. • Extensive hands-on experience delivering enterprise-scale, database-driven platforms in a regulated environment. • Expert-level proficiency in Python programming, including object-oriented design, data structures, algorithms, and extensive experience with various Python libraries. • Deep expertise in developing, optimizing, and deploying PySpark applications for large-scale data processing, ETL, and real-time analytics on distributed systems (e.g., Spark SQL, Spark Streaming, DataFrames). • Strong understanding of Apache Spark architecture, Hadoop ecosystem, and experience with distributed computing concepts. Familiarity with big data storage formats (e.g., Parquet, ORC). What You Will Be Doing • Design, develop, and implement robust, scalable, and high-performance data pipelines and applications using Python, PySpark, and Big Data technologies. • Work autonomously to analyze requirements, propose technical solutions, and deliver high-quality code and data products, ensuring alignment with architectural standards and business objectives. • Utilize expertise in various Big Data platforms (e.g., Hadoop, Hive, Kafka, Spark) to process, transform, and manage large datasets efficiently. • Write complex SQL queries, stored procedures, and optimize database performance for large-scale data warehousing and analytics solutions. • Develop and enhance ETL (Extract, Transform, Load) processes, ensuring data quality, integrity, and timely delivery. Experience with various ETL tools and methodologies is a plus. • Proactively research, evaluate, and integrate new and emerging technologies, frameworks, and tools to improve development processes and solution capabilities. • Ensure adherence to coding standards, conduct thorough code reviews, and implement best practices for software development, data governance, and security. • Diagnose and resolve complex technical issues related to data pipelines, performance bottlenecks, and system integrations in a fast-paced environment. • Collaborate effectively with cross-functional teams including architects, data scientists, business analysts, and QA engineers. Provide technical guidance and mentorship to junior team members. • Identify opportunities to use AI tools to speed up development, code reviews, unit testing and deployment. Posted By: Melissa Klein