Senior Data Engineer - Indiana

Indianapolis, United States | Posted on 10/02/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

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

Location: Indianapolis, IN

Work Arrangement: Onsite, 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 has deep hands on experience building data solutions on AWS and Databricks, along 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, build, and support scalable data pipelines on Databricks and AWS.
• Develop ETL/ELT solutions using Spark, PySpark, and SQL.
• Implement Delta Lake, Unity Catalog, and Databricks Workflows.
• Work with AWS data services such as S3, Glue, Lambda, Redshift, and IAM.
• Optimize pipeline performance, cost, and reliability.
• Collaborate with business and technical stakeholders to translate requirements into technical solutions.
• 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 experience with Databricks (Spark, Delta Lake, Unity Catalog).
• Strong hands on experience with AWS data services.
• Strong Python and SQL skills.
• 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 certification
• 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 with deep AWS and Databricks skills who delivers solutions and helps identify ways to expand the engagement.

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