Senior Data Engineer - AI-Driven ETL & Pipelines (Hybrid)

Benchmark; South Bend (IN); Hybrid; USD 70,000 - 140,000; Full time

Benefits offered by this job

401(k)

Dental insurance

Health insurance

Paid time off

Vision insurance

Job summary

Benchmark is hiring an experienced Data Engineer to own and evolve its data platform, building pipelines that collect, transform, validate, and deliver both structured and unstructured data to power APIs and product experiences.

You will work with Python, SQL, and modern orchestration tools to design production ETL/ELT pipelines, create data models, and monitor quality. The role offers a full-time hybrid setup based in South Bend, Indiana, with autonomy to drive major data initiatives.

Qualifications

• 5+ years of experience in data engineering or software engineering with ownership of production data systems.
• Strong Python and SQL skills, including pandas, NumPy, or similar libraries.
• Experience designing and owning production ETL or 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 and experience working with LLM or machine-learning APIs.
• Comfort operating with high autonomy and ambiguity in a fast-paced startup environment.

Responsibilities

• Own the architecture and development of data pipelines.
• Build ETL workflows for structured and unstructured data.
• Develop web scrapers, data integrations, and automated data collection systems.
• Create data models, validation processes, and monitoring to improve reliability.
• Build internal tools and APIs to make data usable for downstream teams and systems.
• 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.

Skills

Python

SQL

Pandas

NumPy

ETL/ELT pipelines

Data modeling

Production data systems

AI tools / ML APIs

Tools

Dagster

Airflow

Prefect

Snowflake

BigQuery

Redshift

Databricks

AWS

Job description

Benchmark is hiring an experienced Data Engineer to own and evolve its data platform, building pipelines that collect, transform, validate, and deliver both structured and unstructured data to power APIs and product experiences.

You will work with Python, SQL, and modern orchestration tools to design production ETL/ELT pipelines, create data models, and monitor quality. The role offers a full-time hybrid setup based in South Bend, Indiana, with autonomy to drive major data initiatives.