Data Engineer

CFS is building and operating modern data solutions, and this Data Engineer role centers on designing, building, and optimizing reliable data pipelines and systems. The position blends hands-on data engineering with automation, Python and SQL development, and the use of AI tools to improve workflows across the platform.

What you will do

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

Key skills and experience

• 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 including 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.

Technologies you will work with

• Python, SQL, Pandas, NumPy
• Airflow, Dagster, Prefect
• Snowflake, Databricks, BigQuery, Redshift
• ETL/ELT
• Machine learning, LLM

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.

Location: South Bend, IN (hybrid)

Compensation: USD 125,000 - 140,000 per year

Minimum experience: 5 years