Data & AI Engineer

RADcube - A NLogix Company; Indianapolis (IN); On-site; USD 110,000 - 150,000; Full time

Job summary

RADcube - A NLogix Company in Indianapolis, IN seeks a senior hands-on Data Engineer to design, build, and scale enterprise data platforms supporting data and AI initiatives for client engagements. Expertise with AWS and Databricks is essential, with ability to translate business requirements into scalable data solutions.

You will collaborate with business and technical stakeholders, implement Delta Lake and Lakehouse architectures, and contribute to data governance, quality, and CI/CD pipelines

Qualifications

• Proficient in Python, PySpark/Spark and SQL for building data pipelines.
• Hands-on Databricks experience including Delta Lake and Lakehouse architectures.
• Strong with AWS data services and batch/streaming ingestion.
• Knowledge of CI/CD practices and data governance.
• Ability to engage stakeholders independently and translate requirements.
• Excellent communication and collaboration with business and tech teams.
• Must be local to Indianapolis, IN and able to work onsite.

Responsibilities

• Design, build, and scale data pipelines on Databricks and AWS.
• Develop ETL/ELT solutions using Spark, PySpark, and SQL.
• Implement Delta Lake, Lakehouse, Unity Catalog, and Databricks Workflows.
• Work with AWS data services such as S3, Glue, Lambda, Redshift, and IAM.
• Build batch and streaming ingestion with data quality and governance controls.
• Apply CI/CD practices and optimize pipeline performance, cost, and reliability.
• Engage stakeholders directly and translate requirements into solutions.
• Contribute to data architecture and solution design discussions.
• Identify opportunities where data and AI can address business needs.

Skills

Python

PySpark/Spark

SQL

Databricks

Delta Lake

Lakehouse

AWS data services

CI/CD

Stakeholder engagement

Communication skills

Tools

Databricks Workflows

Delta Lake

Unity Catalog

MLflow

AWS S3

AWS Glue

Job description

Indianapolis, United States

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

Position Overview We are seeking a senior hands‑on Data Engineer to design, develop, and scale enterprise data platforms supporting data and AI initiatives for our client. The ideal candidate has deep experience building on AWS and Databricks, and can work directly with business and technical stakeholders, understand emerging requirements, and identify opportunities for additional data and AI solutions. This role supports one of our client's business units, with potential for the engagement to expand.

Key Responsibilities

• Design, build, and scale data pipelines on Databricks and AWS.
• Develop ETL/ELT solutions using Spark, PySpark, and SQL.
• Implement Delta Lake, Lakehouse, Unity Catalog, and Databricks Workflows.
• Work with AWS data services such as S3, Glue, Lambda, Redshift, and IAM.
• Build batch and streaming ingestion with data quality and governance controls.
• Apply CI/CD practices and optimize pipeline performance, cost, and reliability.
• Engage business and technical stakeholders directly and translate requirements into solutions.
• Contribute to data architecture and solution design discussions.
• Identify opportunities where data and AI can address additional business needs.
• Contribute to the growth of the overall engagement.

Requirements

Required Qualifications

• Python, PySpark/Spark, and SQL.
• Databricks, including Delta Lake and Lakehouse.
• Strong hands‑on experience with AWS data services.
• Batch and streaming ingestion, data quality and governance, CI/CD.
• Ability to engage stakeholders independently, not only work from technical tickets.
• Excellent communication and stakeholder management skills.
• Must be local to Indianapolis, IN and able to work onsite.

Preferred Experience

• Unity Catalog, MLflow, Medallion Architecture
• Databricks certification
• NVIDIA ecosystem exposure
• GenAI and ML pipelines
• Regulated healthcare or pharma experience (pharma preferred, not mandatory)
• Experience identifying additional technology or business opportunities