Job Specifications
looking for a Sr. Data Engineer (SQL+Python+AWS) to work on a 12+ Months, Contract (potential Extension or may Convert to Full-time) = Hybrid at St. Petersburg, FL 33716 with a Direct Financial Client = only on W2 for US Citizen or Green Card Holders.
Notes from the Hiring Manager:
• Setting up Python environments and data structures to support the Data Science/ML team.
• No prior Data Science or Machine Learning experience required.
• Role involves building new data pipelines and managing file-loading connections.
• Strong SQL skills are essential.
• Contract-to-hire position.
• Hybrid role based in St. Pete, FL (33716) only.
Duties:
This role is building and maintaining 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.
• 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 to comply with RJ standards.
Skills:
Required:
• Strong proficiency with SQL and hands-on experience working with Oracle databases.
• 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
Preferred:
• 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.
About the Company
Two Decades of Trust and Innovation:
For over 22 years, SGS Technologie has been at the forefront of digital transformation, helping businesses and government agencies navigate the evolving landscape of technology. Headquartered in Jacksonville, Florida, SGS is more than just a software development firm, it's a trusted partner in innovation.
A Name Florida Trusts:
As a proud member of JAX Chamber and a preferred technology provider for the Florida government, SGS has played a vital role in modernizing digital infrastructu...
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