Data Engineer

Bill Rate: MAX CONFIRMED-$50- 52 PER HR.
Location: Tampa, FL- ONSITE

Role: Data Engineer


Role Descriptions: Role - We are seeking a skilled ETL Developer / Data Engineer to design and build scalable data pipelines for enterprise data platforms. The role focuses on integrating multiple data sources into Snowflake/Oracle-based data warehouses, leveraging Java/Python, REST APIs, and modern data engineering practices.
Primary Responsibilities:
Design, develop, and maintain ETL pipelines to ingest, transform, and load data from diverse sources (databases, APIs, files) into target data platforms such as Snowflake and Oracle Build and Eligible to workimize data ingestion frameworks and REST API integrations for real-time and batch processing Develop reusable components using Java/Python for data transformation, orchestration, and pipeline automation Eligible to workimize query performance and data models in Snowflake/Oracle to support analytics and reporting needs Troubleshoot data pipeline issues and provide production support, including root cause analysis and resolution Ensure adherence to data governance, security, and compliance standards in all ETL processes Participate in CI/CD pipeline setup, code reviews, and DevOps practices for data engineering workflows Contribute to design, testing, and deployment of scalable data solutions.


Required Skills and Experience:
Strong programming experience in Java and/or Python Hands-on experience building ETL/data pipelines in enterprise environments Experience working with REST APIs for data ingestion and integration Strong database knowledge with Oracle and/or Snowflake/Postgres Proficiency in SQL for data transformation and performance tuning


Good to Have
• Familiarity with CI/CD tools (Jenkins, Git, Bitbucket, etc.) • Knowledge of data ingestion frameworks and enterprise integration tools • Experience working in Snowflake-based data platforms or modern data pipelines (aligned with enterprise data ecosystems)


Qualifications
• Bachelor's degree in Computer Science, Information Systems, or related field • Typically 4-6+ years of experience in ETL/Data Engineering roles • Strong analytical, problem-solving, and communication skills

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