Senior Data Reliability Engineer - DataOps & Observability

Jobtailor; Illinois; On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a data-focused technologist to own data quality and observability across critical data products. You will work with Data Engineering to embed reliability patterns into pipelines, automate validation, and lead incident response for data issues.

The role requires 5+ years in infrastructure/data environments, hands-on experience with Snowflake and cloud platforms, and strong DataOps practices. Expect collaboration with application teams and enterprise ASP.NET-based solutions.

Qualifications

• Authorized to work in the US without sponsorship.
• No STEM OPT endorsement.
• Bachelor's degree.
• 5+ years’ experience in Infrastructure/Data technology with hands-on responsibilities.
• 3+ years’ experience in Data Engineering, Data Quality, or SRE in an enterprise data environment.
• Hands-on experience with data warehousing and data lake tech including Snowflake and cloud environments (AWS/GCP).
• ETL pipelines using SSIS/SSMS.
• Experience with Informatica, Python/Pyspark, and distributed compute (EMR/Hadoop).
• Designing data quality checks, validation frameworks, and governance standards.
• Hands-on software or cloud engineering experience.
• Familiarity with cloud providers and core compute/containers/databases/APIs.
• Data observability concepts/tools and impact on business outcomes.
• AIOps for monitoring/self-healing data pipelines; ML-based anomaly detection.
• Prompt engineering with AWS or Google AI services.
• DataOps practices implementation.

Responsibilities

• Establish and enforce Data Service Level Objectives for data products.
• Implement advanced data observability tools across the data journey.
• Detect data quality anomalies, schema drifts, and pipeline delays in real time.
• Collaborate with Data Engineering to embed reliability patterns into pipelines.
• Automate data validation, reprocessing, backfilling, and other tasks.
• Lead incident response and resolution for data-related issues.
• Ensure fast recovery and conduct blameless post-incident reviews.
• Develop and automate data-aware runbooks for failures and data recovery.
• Partner with application teams to support software solutions using .NET and ASP.NET.
• Develop and maintain robust enterprise web applications using ASP.NET.

Skills

Data Engineering

Data Quality

DataOps Practices

Advanced Data Observability

AIOps Implementation

Prompt Engineering

Education

Bachelor's degree

Tools

Snowflake

AWS

GCP

EMR

Hadoop

.NET Framework

ASP.NET

SSIS

SSMS

Informatica

Python/Pyspark

Job description

Jobtailor is seeking a data-focused technologist to own data quality and observability across critical data products. You will work with Data Engineering to embed reliability patterns into pipelines, automate validation, and lead incident response for data issues.

The role requires 5+ years in infrastructure/data environments, hands-on experience with Snowflake and cloud platforms, and strong DataOps practices. Expect collaboration with application teams and enterprise ASP.NET-based solutions.