Data Observability Engineer - AWS & Data Quality

RADcube - A NLogix Company; Indianapolis (IN); On-site; USD 110,000 - 160,000; Full time

Job summary

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

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data quality frameworks

AWS

Tools

Monte Carlo

Great Expectations

CloudWatch

Datadog

AWS Glue

AWS S3

AWS Lambda

AWS Redshift

Job description

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