Data Engineer

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

Data Engineer

Location: South Bend, IN (Hybrid)
Job Type: Full-Time
Compensation: $125,000 - $140,000

About the Role

We are seeking a skilled Data Engineer to design, build, and optimize modern data solutions that support business operations and decision-making. This role combines data engineering, software development, and emerging AI technologies to create scalable, reliable, and efficient data systems.

The ideal candidate has strong experience with data pipelines, cloud platforms, automation, and Python development, along with a passion for solving complex technical challenges.

Key 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 that improve data accessibility and usability.
• Collaborate with technical and business stakeholders to deliver data-driven solutions.
• Leverage AI and automation tools to improve engineering workflows and productivity.
• Support architectural improvements and the ongoing evolution of the data platform.
• Ensure data quality, integrity, performance, and security across all systems.

Required Qualifications

• 5+ years of experience in Data Engineering, Software Engineering, or a related field.
• Strong proficiency in Python and SQL.
• Experience with data processing libraries such as Pandas and NumPy.
• Hands-on experience designing and supporting production ETL/ELT workflows.
• Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or similar platforms.
• Experience with cloud-based data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
• Strong understanding of data modeling, transformation, validation, and quality management.
• Experience building automated data acquisition or web scraping solutions.
• Familiarity with AI-powered development tools and machine learning or LLM integrations.
• Strong problem-solving skills and the ability to work independently in a fast-paced environment.

Preferred Qualifications

• Experience with TypeScript or JavaScript.
• Experience with backend frameworks such as FastAPI, Django, Express, or NestJS.
• Familiarity with React, Next.js, or other modern web frameworks.
• Knowledge of AI applications, RAG architectures, and LLM-powered solutions.
• Experience with AWS or other cloud environments.
• Familiarity with Docker, Terraform, CI/CD pipelines, and Infrastructure as Code.
• Experience working with semi-structured data such as PDFs, spreadsheets, and contracts.
• Experience with vector databases such as Pinecone, Weaviate, or pgvector.
• Previous experience in a high-growth or startup environment.