Data Engineer
3d Design Tools
Apache Airflow
Artificial Intelligence
Aws Data Warehouse
Big Data
Bigdata
Bigquery
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Science
Data Warehouse
Data Warehousing
Database
Databases
Databricks
ETL
Informatica
Information Technology (IT)
Programming Language
Programming Languages
Snowflake
Spark
SQL
Job Description
CFS is hiring a Data Engineer for a hybrid role in South Bend, Indiana. This position focuses on designing, building, and optimizing modern data solutions, with hands-on work across data pipelines, automation, Python and SQL development, and applying AI tools to improve data systems and workflows.
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 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.
Requirements
- 5+ years of experience in Data Engineering, Software Engineering, or a related field.
- Strong proficiency in Python and SQL.
- Experience working 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.
Technology Stack
- 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 and Compensation
Location: South Bend, IN (hybrid). Salary: USD 125,000 to 140,000 per year. Experience: 5+ years required.
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