Data Engineer - AWS (Data Observability)

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

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

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.