RESPEC
RESPEC

60 Respec Data Jobs Hiring Near You

Maintain the Industrial Sector's client data in RESPEC's client management system * Serve as the client manager and/or contract manager for selected key clients within the market sector * Nurture ...

Our six market sectors-Mining & Energy, Water, Facilities, Transportation, Development Services, and Data & Technology-reflect our expertise and commitment to excellence. At RESPEC, we thrive on ...

RESPEC is 100% employee-owned , which means we take ownership of every challenge. Here, your ideas ... or apply data-driven technology to improve mining and water systems. We bring deep technical ...

RESPEC is 100% employee-owned , which means we take ownership of every challenge. Here, your ideas ... or apply data-driven technology to improve mining and water systems. We bring deep technical ...

At RESPEC, a GIS Consultant is a strong independent contributor in geospatial data management, spatial analysis, cartography, and overall GIS solution delivery. You have solid foundational knowledge ...

RESPEC is 100% employee-owned , which means we take ownership of every challenge. Here, your ideas ... or apply data-driven technology to improve mining and water systems. We bring deep technical ...

RESPEC is 100% employee-owned , which means we take ownership of every challenge. Here, your ideas ... Familiarity with Data Lake technology, such as Snowflake, for handling large datasets * Excellent ...

At RESPEC, a GIS Consultant is a strong independent contributor in geospatial data management, spatial analysis, cartography, and overall GIS solution delivery. You have solid foundational knowledge ...

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RESPEC Jobs Information

What are the most popular job types at Respec?
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    Infographic showing various Data job openings at Respec in the United States as of June 2026, with employment types broken down into 68% Full Time, and 32% Contract. Highlights an 47% Physical, and 53% Remote job distribution.
    Student Engineering Intern - Data Science

    Student Engineering Intern - Data Science

    RE/SPEC Inc.

    Rapid City, SD

    $16.50 - $21.50/hr

    Other

    Posted 27 days ago


    Job description

    Company Description

    Big challenges need bold thinkers.

    If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.

    At RESPEC, you'll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.

    We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in.

    Job Description

    RESPEC seeks a Student Engineering Intern - Data Science for our Rapid City, SD office as part of our 2026 Summer Internship Program. This position is expected to work 40 hours per week during summer 2026.

    In this role, the intern will gain hands-on experience in data collection, analysis, and development of large-scale database systems to support engineering staff. The ideal candidate will have experience working with artificial intelligence and machine learning tools to query, analyze, and disposition large datasets, along with knowledge of database system design and implementation. Experience with GIS database systems is preferred.

    Additional responsibilities may include developing specialized scripts and software utilities using Python, C++, VBA, or other programming languages. The selected candidate will work under the direct supervision of experienced engineering staff.

    Qualifications

    Required:

    • Must be working toward a Bachelor of Science or advanced degree in computer science, computer engineering, industrial, mechanical, civil, or related field
    • Demonstrated knowledge in data science, machine learning, and artificial intelligence tools, methods, and applications
    • Strong computer skills in using standard office software
    • Excellent interpersonal skills, be able to communicate effectively in writing and orally, and be self-motivated

    Preferred:

    • Familiarity with CAE software, such as 3D CAD software
    • Strong working knowledge of common programming languages
    Additional Information

    Compensation: Compensation depends on experience. No benefits are offered except those that are required for statutory purposes.