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Data Engineer

$125k - $140k

CFS

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

#J-18808-Ljbffr
Vacancy posted 16 hours ago
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