Data Quality Engineer (AI)

Location: Hybrid from a local hirify.global office in Alpharetta, Birmingham, Chicago, Downers Grove, or Jacksonville, or remote from Connecticut, New Jersey, Ohio, Pennsylvania, Rhode Island, or Virginia. Sponsorship is not accepted for this position.

Salary: $99,000–$164,800 annually, plus an annual discretionary bonus.

Company

hirify.global is a specialized insurer providing insurance products and services for customers with evolving needs.

What you will do

• Build, maintain, and optimize automated data testing frameworks and validation pipelines using SQL, Informatica, IICS, Snowflake, and Python.
• Develop validation routines for extracts, transformations, reporting datasets, and end-to-end data flows.
• Automate reconciliation between source and target systems through row-count, schema, transformation, profiling, and integrity checks.
• Embed testing and quality controls into ETL/ELT pipelines and CI/CD processes across Snowflake, Oracle, and AWS environments.
• Support test environment planning, test data management, deployment coordination, integration testing, and validation across development, QA, UAT, and production.
• Collaborate with engineers, analysts, QA teams, and business stakeholders while mentoring junior team members and improving DataOps practices.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.
• 6+ years of experience in data engineering, data testing, or database development.
• Expertise in SQL, automated data testing, Informatica/IICS, Snowflake, Oracle, data reconciliation, data profiling, data modeling, XML, JSON, AWS, and Python-based automation.
• Experience developing reusable validation frameworks and end-to-end testing strategies for enterprise data pipelines and distributed platforms.
• Strong understanding of ETL/ELT testing, data security, governance, compliance, environment dependencies, release validation, and data synchronization.
• Must work from an eligible U.S. office location or one of the specified U.S. remote states; visa sponsorship is not available.

Nice to have

• Insurance industry experience, including P&C or Life insurance.
• IDMC/IICS, Data Vault 2.0, data quality or observability tools, PowerShell, Git, CI/CD, hybrid or multi-cloud architectures, Spark, Kafka, Airflow, dbt, or Infrastructure as Code.
• Experience with monitoring, alerting, anomaly detection, Power BI validation, DevOps, DataOps, and AI-assisted or generative AI testing tools.

Culture & Benefits

• Hybrid work from a local office or remote work for eligible non-local candidates.
• Medical, dental, and vision benefits.
• Paid time off and 401(k).
• Annual discretionary bonus eligibility.
• Focus on professional development, technical challenge, diversity, and work-life balance.