Data Engineer
5 days ago
W2 CONTRACT - Hybrid
ST. PETERSBURG, FL
No Third Parties - GC/USC only
Our client located in St. Petersburg, FL is seeking a Data Engineer to build and maintain data pipelines that connect Oracle-based source systems to AWS cloud environments to provide well-structured data for analysis and machine learning in AWS SageMaker. It includes working closely with data scientists to deliver scalable data workflows as a foundation for predictive modeling and analytics.
Duties
- Develop and maintain data pipelines to extract, transform, and load data from Oracle databases and other systems into AWS environments (S3, Redshift, Glue, etc.).
- Collaborate with data scientists to ensure data is prepared, cleaned, and optimized for SageMaker-based machine learning workloads.
- Implement and manage data ingestion frameworks, including batch and streaming pipelines.
- Automate and schedule data workflows using AWS Glue, Step Functions, or Airflow.
- Develop and maintain data models, schemas, and cataloging processes for discoverability and consistency.
- Optimize data processes for performance and cost efficiency.
- Implement data quality checks, validation, and governance standards.
- Work with DevOps and security teams.
- Strong proficiency with SQL and hands-on experience working with Oracle databases.
- Strong experience in batch processing.
- Experience designing and implementing ETL/ELT pipelines and data workflows.
- Hands-on experience with AWS data services, such as S3, Glue, Redshift, Lambda, and IAM.
- Proficiency in Python for data engineering (pandas, boto3, pyodbc, etc.).
- Solid understanding of data modeling, relational databases, and schema design.
- Familiarity with version control, CI/CD, and automation practices.
- Ability to collaborate with data scientists to align data structures with model and analytics requirements
- Experience integrating data for use in AWS SageMaker or other ML platforms.
- Exposure to MLOps or ML pipeline orchestration.
- Familiarity with data cataloging and governance tools (AWS Glue Catalog, Lake Formation).
- Knowledge of data warehouse design patterns and best practices.
- Experience with data orchestration tools (e.g., Apache Airflow, Step Functions).
- Working knowledge of Java is a plus.
Education
B.S. in Computer Science, MIS or related degree and a minimum of five (5) years of related experience or combination of education, training and experience.
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