Data Engineer – AWS (Data Observability)

RADcube; Indianapolis (IN); On-site; USD 90,000 - 130,000; Full time

Job summary

RADcube in Indianapolis is seeking a data observability engineer to implement monitoring across enterprise data pipelines, ensuring reliability, trust, and transparency of data products for multiple business domains.

You will design data quality checks, establish freshness and volume monitoring, configure observability tooling (e.g., AWS CloudWatch, Datadog, Great Expectations), and perform incident triage to uphold SLAs and runbooks; 4+ years of hands-on AWS, Python, SQL, and data quality

Qualifications

• Must have 4+ years of experience in data observability, data engineering, or related fields.
• Experience with AWS services (Glue, S3, Lambda, Redshift, CloudWatch) and modern data pipelines.
• Proficiency in Python and SQL for data validation, monitoring, and automation.

Responsibilities

• 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

Tools

AWS

Python

SQL

Data quality frameworks

Job description

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