Industrial Data Engineer: ETL Pipelines & Analytics

Interstates; Sioux Center (IA); Hybrid; USD 95,000 - 135,000; Full time

Benefits offered by this job

Competitive pay

Bonus incentives

401(k)

Health, Vision, and Dental Insurance

PTO and Holiday Pay

Disability and Life Insurance

Advancement Opportunities

Job summary

Interstates is seeking a Data Engineer to design, build, and maintain data pipelines that power dashboards, analytics, and data products across the company. You’ll integrate data from multiple sources, ensure data quality, and collaborate with analysts, developers, and operational teams.

The role focuses on ETL/ELT, SQL-heavy data modeling, and supporting AI/ML-ready datasets. A hybrid work setup is available near Sioux Falls, Sioux Center, or Cincinnati with travel up to 10%.

Qualifications

• Strong SQL skills and data modeling across multiple sources.
• Knowledge of ETL/ELT and data integration concepts.
• Ability to troubleshoot ambiguous data and ensure data quality.

Responsibilities

• Design, develop, and maintain ETL/ELT processes and data pipelines.
• Integrate, clean, transform, and model data from multiple sources.
• Develop and optimize advanced SQL queries.
• Prepare data for dashboards, visualization, analytics, and data products.
• Monitor and improve data quality, validation, and reliability.
• Support data integrations, APIs, and data orchestration.
• Work with OT, manufacturing, and industrial data systems to understand data flows and requirements.
• Build reusable, scalable data solutions and document processes and data flows.
• Partner with analysts, developers, and operational SMEs to translate business needs into technical solutions.
• Support datasets and data foundations for advanced analytics and AI/ML initiatives.

Skills

Python

ML/AI datasets

Time-series data

Manufacturing KPIs

Data orchestration tools

Job description

Interstates is seeking a Data Engineer to design, build, and maintain data pipelines that power dashboards, analytics, and data products across the company. You’ll integrate data from multiple sources, ensure data quality, and collaborate with analysts, developers, and operational teams.

The role focuses on ETL/ELT, SQL-heavy data modeling, and supporting AI/ML-ready datasets. A hybrid work setup is available near Sioux Falls, Sioux Center, or Cincinnati with travel up to 10%.