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Data Engineer
Job Location:
Hourly Salary:
Posted:
18 October 2026 (Yesterday)
Posted:
Application Deadline:
15 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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
Bachelors degree in Computer Science Information Systems or related field Typically 46 years of experience in ETL/Data Engineering roles Strong analytical problem-solving and communication skills
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
Bachelors degree in Computer Science Information Systems or related field Typically 46 years of experience in ETL/Data Engineering roles Strong analytical problem-solving and communication skills
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Required Experience:
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