Data Engineer
Python
3d Design Tools
Apache Airflow
Artificial Intelligence
Aws Data Warehouse
Big Data
Bigdata
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 Integration Tools
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
Databricks
ETL
Generative AI
Google Cloud Bigquery
Informatica
Information Technology (IT)
Large Language Models
Machine Learning
Machine Learning Apis
Programming
Programming Language
Programming Languages
Rendering Engines
Snowflake
Software Development
Spark
SQL
Job Description
Benchmark is seeking an experienced Data Engineer to own and evolve its data platform and build reliable end-to-end data pipelines.
Responsibilities
- Own the architecture and development of data pipelines
- Build ETL workflows for both structured and unstructured data
- Develop web scrapers, data integrations, and automated collection systems
- Create data models, validation processes, and monitoring for reliability and quality
- Build internal tools and APIs to make data usable for product and engineering needs
- Contribute to customer-facing features when needed
- Use AI tools and models to improve engineering and data workflows
- Help scale technology and engineering practices as the company grows
Requirements
- Substantial professional experience in data engineering or software engineering, including ownership of production data systems (5+ years preferred)
- Strong Python and SQL skills, including pandas, NumPy, or similar libraries
- Experience designing and owning production ETL/ELT pipelines
- Experience with Dagster, Airflow, Prefect, or a similar orchestration platform
- Experience with Snowflake, BigQuery, Redshift, Databricks, or a similar data warehouse
- Strong knowledge of data modeling, transformation, validation, and quality controls
- Experience building reliable web scrapers or automated data-collection systems
- Fluency with AI coding tools, plus experience working with LLM or machine-learning APIs
- Comfort operating with high autonomy and ambiguity in a fast-paced startup
Technologies
- Python, SQL
- pandas, NumPy
- Dagster, Airflow, Prefect
- Snowflake, BigQuery, Redshift, Databricks
- AI coding tools, LLM, machine-learning APIs
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Paid time off
- Vision insurance
Nice to have
- TypeScript or JavaScript experience
- Backend experience with NestJS, Express, FastAPI, Django, or similar frameworks
- Frontend experience with React, Next.js, or similar technologies
- Experience building retrieval-augmented generation systems
- Experience deploying AI agents or other LLM-powered applications in production
- Experience with AWS or another major cloud platform
- Experience with Terraform, Docker, CI/CD, or infrastructure as code
- Experience processing PDFs, spreadsheets, contracts, or other semi-structured documents
- Experience with Pinecone, Weaviate, pgvector, or another vector database
- Experience working at an early-stage startup or on a small engineering team
Location and working style
- Full-time hybrid role based in South Bend, Indiana
- Preference for candidates who can work with the team in person regularly
- May consider an exceptional candidate outside the area
- Works directly with the CTO and broader team while maintaining autonomy to own major technical initiatives
Salary: USD 70,000 - 140,000 per year
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