SQL Engineer with SSIS, Python

SQL Engineer With SSIS, Python

Location: Remote Brillio with Centene Duration: Long-term C2C

Key Responsibilities:

• Design, write, and optimize complex SQL queries for data extraction, transformation, and loading (ETL).
• Develop Python scripts and applications for data processing, automation, and integration.
• Collaborate with data scientists and analysts to build data pipelines and analytical tools.
• Salesforce Integration - good to have
• Work with Salesforce APIs to extract, transform, and load data into internal systems.
• Support Salesforce data modeling and reporting requirements.
• Ensure data consistency and integrity across Salesforce and other platforms.
• Data Engineering & Architecture
• Build and maintain scalable ETL/ELT pipelines using tools like Airflow or similar.
• Manage and optimize relational databases and data warehouses (e.g., Snowflake, AWS Redshift).
• Implement data governance, profiling, and validation processes.
• Collaboration & Documentation
• Partner with cross-functional teams including product managers, researchers, and engineers.
• Document technical specifications, data flows, and system architecture.
• Participate in code reviews and contribute to best practices in data engineering.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 3+ years of experience in SQL and Python development.
• Hands-on experience with Salesforce data structures and APIs.
• Familiarity with cloud platforms (AWS, GCP) and containerization tools (Docker, Kubernetes).
• Experience with version control systems (Git) and CI/CD pipelines.

Preferred Skills:

• Experience with deep learning frameworks (PyTorch, TensorFlow) is a plus.
• Knowledge of data modeling, big data analytics, and business intelligence tools.
• Strong problem-solving and communication skills.