Data Engineer - ETL, SQL & Data Pipelines (Hybrid)

Interstates; Sioux Falls (SD); Hybrid; USD 90,000 - 130,000; 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 in Sioux Falls, SD is seeking a Data Engineer to build robust data foundations powering dashboards, analytics, and data products across Interstates. You will integrate, transform, and model data from multiple sources while partnering with analysts, developers, and operational teams to create reliable, reusable data solutions.

This in-person role emphasizes data quality, scalable pipelines, and collaboration with OT, manufacturing, and industrial systems.

Qualifications

• Strong SQL skills with complex queries, joins, transformations, and data manipulation.
• Experience in data engineering, analytics engineering, software development, or a related technical field.
• Ability to learn new systems and engage SMEs as needed.

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 data flows.
• Partner with analysts, developers, and SMEs to translate business needs into technical solutions.
• Support datasets and data foundations for advanced analytics and AI/ML initiatives.

Skills

SQL

Python

Data modeling

Data quality

Data warehousing

Communication

Tools

ETL/ELT tools

Job description

Interstates in Sioux Falls, SD is seeking a Data Engineer to build robust data foundations powering dashboards, analytics, and data products across Interstates. You will integrate, transform, and model data from multiple sources while partnering with analysts, developers, and operational teams to create reliable, reusable data solutions.

This in-person role emphasizes data quality, scalable pipelines, and collaboration with OT, manufacturing, and industrial systems.