Data Engineer - AI-Driven Pipelines & Cloud Solutions

Creative Financial Staffing, LLC; South Bend (IN); Hybrid; USD 125,000 - 140,000; Full time

Job summary

Creative Financial Staffing, LLC is seeking a Data Engineer in South Bend, IN (Hybrid) to design, build, and optimize modern data solutions that enable informed business decisions. The role blends data engineering, software development, and AI tech to deliver scalable, secure data systems.

Strong Python/SQL, data pipelines, and cloud experience are required. The ideal candidate will design ETL/ELT processes, automate data collection and web scraping, and collaborate with stakeholders to deploy

Qualifications

• 5+ years of experience in Data Engineering or related field.
• Strong Python and SQL skills.
• Experience with data processing libraries (Pandas, NumPy).
• Hands-on experience with production ETL/ELT workflows.
• Experience with workflow orchestration tools (Airflow, Dagster, Prefect).
• Experience with cloud-based data platforms (Snowflake, Databricks, BigQuery, Redshift).
• Knowledge of data modeling, transformation, validation, and quality management.
• Experience building automated data acquisition or web scraping solutions.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop automated data collection, integration, and web scraping solutions.
• Create and manage data models, validation frameworks, and monitoring processes.
• Build APIs and internal applications to improve data accessibility.
• Collaborate with stakeholders to deliver data-driven solutions.
• Leverage AI and automation tools to improve workflows and productivity.
• Support architectural improvements and ongoing evolution of the data platform.
• Ensure data quality, integrity, performance, and security.

Skills

Python

SQL

ETL/ELT

Airflow

Cloud platforms

Data modeling

Web scraping

AI/LMM integrations

Job description

Creative Financial Staffing, LLC is seeking a Data Engineer in South Bend, IN (Hybrid) to design, build, and optimize modern data solutions that enable informed business decisions. The role blends data engineering, software development, and AI tech to deliver scalable, secure data systems.

Strong Python/SQL, data pipelines, and cloud experience are required. The ideal candidate will design ETL/ELT processes, automate data collection and web scraping, and collaborate with stakeholders to deploy