Data Engineer – AWS (Data Observability)

RADcube - A NLogix Company; Indianapolis (IN); Presencial; USD 110.000 - 160.000; Jornada completa

Descripción de la vacante

RADcube - A NLogix Company, based in Indianapolis, invites you to join our team as a data observability engineer. You will design and implement monitoring across enterprise data pipelines to ensure reliability and data trust, while building robust quality checks and alerting for data freshness, volume, and schema.

You will set up observability tooling (Monte Carlo, Great Expectations, CloudWatch, Datadog) and perform incident triage with SLAs and runbooks, leveraging 4+ years of AWS, Python, and

Formación

• 4+ years of experience with data engineering or MLOps in cloud environments.
• Strong knowledge of data quality, observability, and monitoring.
• Experience with AWS data services and Python-based data pipelines.

Responsabilidades

• Implement monitoring and observability across enterprise data pipelines.
• Build data quality checks and alerting for data freshness, volume, and schema.
• Set up observability tooling and maintain runbooks and SLAs.

Conocimientos

Python

SQL

Data quality frameworks

AWS

Herramientas

Monte Carlo

Great Expectations

CloudWatch

Datadog

AWS Glue

AWS S3

AWS Lambda

AWS Redshift

Descripción del empleo

Indianapolis, United States | Posted on 10/29/2026

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

Implement monitoring and observability across enterprise data pipelines to ensure reliability and data trust.

• Build data quality checks, freshness/volume/schema monitoring and alerting
  
• Set up observability tooling (e.g., Monte Carlo, Great Expectations, CloudWatch, Datadog)
  
• Perform incident triage and root cause analysis; maintain SLAs and runbooks
  

Requirements

• Must have: 4+ yrs, AWS (Glue, S3, Lambda, Redshift, CloudWatch), Python, SQL, data quality frameworks