AWS Data Engineer: Observability & Data Quality

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

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