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RADcube - A NLogix Company

Senior Data Engineer - Indiana

RADcube - A NLogix Company Indianapolis, Indiana, United States

IT System Custom Software Development · 201-500 employees

Oct 02
data-engineer Senior (5-10 yrs) Full-time United States
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About the role

Design, develop, and maintain scalable data engineering solutions and pipelines to support business and AI requirements. Collaborate with stakeholders to translate business needs into technical solutions and contribute to the growth of the client engagement.

What they look for

Data Engineering Databricks NVIDIA AI Data Pipelines Data Architecture Stakeholder Management Solution Design Client Facing Pharmaceutical Life Sciences Data Platforms

Requirements

Requires a strong hands-on data engineering background with experience in modern data platforms and AI ecosystems. Candidates must possess excellent communication skills and be local to Indianapolis, IN, for onsite work.

Full description

Senior Data Engineer

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 data engineering background.
  • 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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