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As of Jun 9, 2026, the average hourly pay for summer deloitte data analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.
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Infographic showing various Summer Deloitte Data Analytics job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 72% Full Time, and 27% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.
ConvergeHEALTH - Data Operations Engineer, Expert Services-Innovation_Delivery_Transformation

ConvergeHEALTH - Data Operations Engineer, Expert Services-Innovation_Delivery_Transformation

Deloitte

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted 9 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte is seeking a Data Operations Engineer for their Converge for Healthcare's Expert Services team. In this role, you will connect client source data to the foundational data models powering Deloitte's Data Studio platform, focusing on building and optimizing cloud-native data pipelines for healthcare analytics products.
Responsibilities:
• Data integration & pipeline engineering. Design, build, and optimize cloud-native ETL/ELT pipelines that ingest client source data and conform it to the Data Studio platform's foundational data model - making real-world healthcare data ready to power production analytics.
• Data validation, profiling & quality. Profile, validate, and QA large, complex healthcare datasets for accuracy, completeness, and conformance to platform standards; combine traditional debugging with LLM-enabled data exploration and ML-based anomaly detection to find and resolve issues faster than manual approaches allow, partnering with client and Deloitte teams as needed when integration issues require it.
• Analytics & insight enablement. Develop the analytics layer of the Data Studio platform - including BI dashboards, self-service reporting, and ML Lab workflows - putting validated, production-ready data in the hands of consulting teams and clients.
• Automation & orchestration. Implement and maintain workflow automation, monitoring, and alerting using event-driven architectures and orchestration tools, with the goal of building systems that run reliably without constant intervention.
• Product collaboration & solution evolution. Act as a hands-on technical voice into the Data Studio platform's evolution - translating real-world delivery learnings into concrete product, data model, and platform enhancement opportunities, and partnering with product and engineering teams to validate and pressure-test new capabilities before they ship.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Information Systems, Engineering, Health Informatics, or a related technical discipline
• 3+ years of hands-on experience with data operations, ETL/ELT development, and cloud-native data integration
• 3+ years of expert-level SQL experience
• 2+ years of Python experience
• Ability to travel up to 15%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or a related technical discipline
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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