DataOps Engineer

DataOps Engineer

Job Type: Contract

Duration: 12–15 months (with potential for extension)

Work Location: Remote (U.S.-based)

Work Hours: Standard business hours

Job Overview

We are seeking an experienced DataOps Engineer to support a large-scale healthcare data modernization initiative. This role focuses on building and operationalizing modern data quality, governance, analytics, and performance monitoring capabilities within an enterprise data environment.

The ideal candidate will combine strong technical expertise with the ability to collaborate closely with internal teams through hands-on delivery, documentation, and knowledge transfer. The engagement emphasizes long-term sustainability, staff enablement, and repeatable best practices rather than one-time development.

Key Responsibilities

• Develop and maintain data quality rules, validation frameworks, and monitoring processes
• Implement statistical process control (SPC) and anomaly detection to ensure data reliability
• Support incident logging, triage, root-cause analysis, and continuous improvement efforts
• Define and maintain metadata standards, data glossary entries, and end-to-end data lineage
• Establish governance procedures, SOPs, and disclosure/suppression rules
• Translate downstream analytics and governance requirements into clear upstream data specifications
• Design and support governed semantic data models
• Assist with the development and validation of standardized dashboards and reports
• Ensure data accuracy, refresh reliability, and compliance with governance standards
• Work within platforms such as Azure DevOps, cloud-based data lakes, and BI tools
• Maintain operational dashboards, KPIs, and performance metrics
• Support agile workflows, documentation repositories, and collaboration tools
• Partner with internal teams through hands-on co-development sessions
• Create and maintain Wikis, runbooks, and playbooks for long-term ownership
• Deliver role-based training and support organizational readiness initiatives

Required Qualifications

• Proven experience as a DataOps Engineer, Data Engineer, Analytics Engineer, or similar role
• Strong background in data quality engineering, governance, and analytics enablement
• Experience with:
• Azure DevOps or similar workflow tools
• Business intelligence platforms (e.g., Power BI or equivalent)
• Cloud data platforms (Azure, AWS, or similar)
• Experience working in Agile or iterative delivery environments
• Strong documentation, communication, and stakeholder collaboration skills
• Ability to work independently in a remote environment

Preferred Qualifications

• Certifications such as:
• Azure Data Engineer
• Power BI Data Analyst
• Databricks Data Engineer
• Data Governance or Data Management certifications
• Experience in healthcare, public sector, or highly regulated data environments