Senior Data Engineer - Indiana
- Hiring from
- United States
- Work type
- Hybrid
- Posted
- Oct 2, 2026
About Us
With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing. Their core service portfolio includes:
Digital Transformation and strategy consulting.
Custom Software Development tailored to specific business needs.
Advanced Data Analytics and AI-driven platforms.
Cybersecurity and risk management.
Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.
The company’s commitment to innovation has earned significant industry honors:
2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.
Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.
Job Description
Senior Data Engineer
Location: Indianapolis, IN
Work Arrangement: Onsite/Hybrid, client facing
Local candidates only
Position Overview
We are seeking a strong Senior Data Engineer to support a data and AI engagement with our client. The ideal candidate combines hands on data engineering expertise with the ability to understand business requirements, communicate with stakeholders, and contribute to broader business opportunities. This role supports one of our client's business units, with potential for the engagement to expand.
Key Responsibilities
- Design, develop, and support scalable data engineering solutions.
- Work with modern data and AI technologies to support business requirements.
- Collaborate with business and technical stakeholders to translate requirements into technical solutions.
- Develop and maintain data pipelines, data processing solutions, and data platforms.
- Contribute to data architecture and solution design discussions.
- Communicate technical concepts clearly to business stakeholders.
- Identify opportunities where data and AI can address additional business needs.
- Contribute to the growth of the overall engagement.
Requirements
Required Qualifications
- Strong hands on data engineering background.
- Experience with modern data platforms and data engineering ecosystems.
- Ability to translate business requirements into technical solutions.
- Excellent communication and stakeholder management skills.
- Comfortable working in a client facing environment.
- Must be local to Indianapolis, IN and able to work onsite.
Preferred Experience
- Databricks
- NVIDIA or related AI and data ecosystem
- AI and modern data technologies
- Pharmaceutical or life sciences experience
- Prior experience in a large enterprise client environment
- Experience identifying additional technology or business opportunities
Ideal Candidate
More than a pure data engineer. A technically strong, business aware, client facing professional who delivers solutions, understands the broader business context, and helps identify ways to expand the engagement.