Senior Data Engineer

Role overview

Experience sought

• Strong experience with Python and SQL, production ETL/ELT pipelines, data modeling and validation, web scraping, and automated data collection.
• Experience with orchestration tools such as Dagster, Airflow, or Prefect; warehouses such as Snowflake, BigQuery, Redshift, or Databricks; and AI coding tools and LLM APIs.
• TypeScript, backend/frontend development, cloud infrastructure, document processing, vector databases, and startup experience are valuable additions.

Responsibilities

• Own and evolve the data platform.
• Build pipelines that collect, transform, validate, and deliver data.
• Contribute to APIs, internal tools, and product experiences.

Location and arrangement

• The role is hybrid/in-office and lists South Bend, Indiana as its location.
• Candidates should be based in the South Bend area or willing to relocate; exceptional candidates outside the area may be considered.

Employment

Requirements

• Strong experience with Python and SQL.
• Strong experience building production ETL/ELT pipelines.
• Strong experience with data modeling and validation.
• Strong experience with web scraping and automated data collection.
• Experience with data orchestration tools such as Dagster, Airflow, or Prefect.
• Experience with data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
• Experience with AI coding tools and LLM APIs.
• TypeScript, backend/frontend development, cloud infrastructure, document processing, vector databases, and startup experience are valuable additions.
• Candidates should be based in the South Bend area or willing to relocate; exceptional candidates outside the area may be considered.