Job ID: 113280-1
Job Title: Data Engineer
Location: Tampa, FL- ONSITE ONSITE
Duration: 6 months
Pay Rate: $30-$35/hr on W2/C2C
Role Descriptions:
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 optimize 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
Optimize 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