RADcube - A NLogix Company

RADcube - A NLogix Company

·last month

Senior data engineer - indiana

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Location

onsite, Indianapolis, IN, United States

Commitment

Full Time

Level

Senior (5+ years)

Required skills

Data EngineeringDatabricksNVIDIAAIData PipelinesData ArchitectureStakeholder ManagementSolution DesignClient FacingPharmaceuticalLife SciencesData Platforms

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.

Ready to join the team?

Apply now

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