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Data Integration Manager Jobs in Reno, NV (NOW HIRING)

Tahoe Forest Health

Data Engineering Manager

Reno, NV · On-site

$128K/yr

This role oversees enterprise data platforms, integrations, data pipelines, data models, and ... Manage data feeds from Epic, Axiom, Premier, payroll, financial, workforce, clinical, operational ...

Socket.dev

Data Engineering Manager

Reno, NV · On-site

$116 - $142/hr

This role oversees enterprise data platforms, integrations, data pipelines, data models, and ... Manage data feeds from Epic, Axiom, Premier, payroll, financial, workforce, clinical, operational ...

New

Panasonic

Forward Deployed Data X Manager

Sparks, NV · On-site

Design and deploy production-grade data pipelines integrating equipment, MES, historians, quality ... Manage execution under real-world factory constraints * Travel and extended on-site assignments are ...

FocusKPI

Marketing Operations Analyst

Sparks, NV · On-site

Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

FocusKPI

Marketing Operations Analyst

Carson City, NV · On-site

Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

FocusKPI

Marketing Operations Analyst

Sparks, NV · On-site

Data Governance and Management: Gain a comprehensive understanding of our data quality and flow ... Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate ...

UHS

Manager of IT Operations

Reno, NV · On-site

$94K - $139K/yr

Create, publish, and manage APIs within the Boomi integration platform * Perform complex data mapping, ensuring data accuracy, integrity, and alignment with business requirements * Monitor ...

UHS

Manager of IT Operations

Reno, NV · On-site +1

Create, publish, and manage APIs within the Boomi integration platform * Perform complex data mapping, ensuring data accuracy, integrity, and alignment with business requirements * Monitor ...

UHS

Manager of IT Operations

Reno, NV · On-site +1

Create, publish, and manage APIs within the Boomi integration platform * Perform complex data mapping, ensuring data accuracy, integrity, and alignment with business requirements * Monitor ...

UHS

Manager of IT Operations

Reno, NV · On-site +1

Create, publish, and manage APIs within the Boomi integration platform * Perform complex data mapping, ensuring data accuracy, integrity, and alignment with business requirements * Monitor ...

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All JobsData Integration JobsData Integration Manager JobsData Integration Manager Jobs in Reno, NV

Data Integration Manager information

See Reno, NV salary details

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How much do data integration manager jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data integration manager in Reno, NV is $51.53, according to ZipRecruiter salary data. Most workers in this role earn between $43.37 and $57.98 per hour, depending on experience, location, and employer.

What are some common challenges a data integration manager faces when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

What are the key skills and qualifications needed to thrive as a data integration manager, and why are they important?

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.

What is the difference between Data Integration Manager vs Data Analyst?

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require strong project management and technical skills. Their role involves coordinating teams, managing data workflows, and implementing integration solutions to support business analytics and decision-making.

What job categories do people searching Data Integration Manager jobs in Reno, NV look for?

The top searched job categories for Data Integration Manager jobs in Reno, NV are:

Data Integration Manager jobs near you

Data Engineering Manager

Tahoe Forest Health

Reno, NV • On-site

$128K/yr

Full-time

Posted 5 days ago

Job description

Bargaining Unit: Non Represented - Manager

Rate of Pay: $128,731 annually + DOE

Summary
The Manager of Data and Engineering lead the technical development, reliability, architecture, and governance of the health system’s enterprise data environment. This role oversees enterprise data platforms, integrations, data pipelines, data models, and technical infrastructure supporting reporting, analytics, financial planning, and organizational decision-making. The position partners closely with Information Technology, Business Intelligence, Finance, clinical, and operational teams to ensure enterprise data is reliable, secure, scalable, well-governed, and available for organizational use.
 
Essential Duties and Responsibilities
Data Architecture & Enterprise Platforms
  • Own the architecture, development, and technical administration of the enterprise data warehouse, lake house, and related analytical data platforms.
  • Establish scalable data architecture and modeling standards supporting enterprise reporting, analytics, financial planning, and decision support.
  • Lead development and maintenance of enterprise data models, data marts, reusable data structures, and shared analytical datasets.
  • Evaluate and recommend improvements to enterprise data architecture, platforms, tools, and technical capabilities.
  • Reduce redundant data structures, unsupported solutions, unnecessary data movement, and technical debt.
Data Engineering & Integration
  • Lead development and maintenance of ETL/ELT pipelines, SQL objects, integrations, interfaces, and automated data-processing workflows.
  • Manage data feeds from Epic, Axiom, Premier, payroll, financial, workforce, clinical, operational, and other enterprise systems.
  • Establish standards for data ingestion, transformation, reconciliation, validation, and integration.
  • Ensure data pipelines and integrations are reliable, efficient, maintainable, and appropriately monitored.
  • Troubleshoot complex data integration, performance, availability, and processing issues.
Analytics & Business Intelligence Technical Enablement
  • Provide the technical data foundation supporting enterprise Business Intelligence, Finance, operational analytics, and organizational reporting.
  • Partner with Business Intelligence on shared datasets, semantic-model architecture, gateways, refresh processes, deployments, and reporting performance.
  • Support technical requirements for budgeting, forecasting, cost accounting, productivity reporting, management reporting, service-line analysis, and other analytical functions.
  • Develop reusable data assets that enable standardized reporting and governed self service analytics.
  • Ensure analytical platforms and technical solutions can scale with organizational reporting and data needs.
Data Governance, Reliability & Technical Standards
  • Ensure data availability, platform reliability, data lineage, technical documentation, and appropriate monitoring of enterprise data environments.
  • Establish development, testing, source-control, deployment, release-management, and change management standards.
  • Establish technical data-quality controls and processes for identifying and resolving data issues.
  • Maintain documentation of data architecture, integrations, pipelines, models, business rules, dependencies, and technical processes.
  • Partner with Information Technology on information security, infrastructure, access management, backup, business continuity, and disaster recovery.
  • Support compliance with organizational data-governance, security, privacy, and technology standards.
Leadership & Operational Partnerships
  • Supervise, develop, and prioritize the work of assigned data engineering, developer, and technical staff.
  • Build technical capabilities through coaching, mentoring, documentation, cross-training, and professional development.
  • Establish technical priorities based on organizational strategy, business requirements, system dependencies, and available resources.
  • Partner with Business Intelligence to ensure business requirements are translated into sustainable technical solutions.
  • Partner with FP&A to support financial planning, cost accounting, productivity, and management-reporting data requirements.
  • Partner with Information Technology and application teams regarding infrastructure, source systems, security, integrations, and technical architecture.
  • Communicate technical risks, dependencies, resource requirements, and recommendations to leadership.

Demonstrates System Values in performance and behavior.

Complies with System policies and procedures.

Other duties as may be assigned.

Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Supervisory Responsibilities
Carries out supervisory responsibility in accordance with the organization’s policies and applicable laws. Responsibilities include interviewing, hiring, training, assigning, coaching, counseling, and disciplining employees; administering scheduling systems; communicating job expectations; planning, monitoring, appraising, and reviewing job contributions; enforcing policies and procedures.

Minimum Education/Experience
Bachelor's Degree computer science, information systems, data engineering, or a related field and 5 or more years relevant experience

Required Licenses/Certifications
None

Other Experience/Qualifications
Required:
  • Bachelor’s degree in computer science, information systems, data engineering, or a related field
  • Five years of experience in data engineering, database development, data warehousing, or business intelligence.
  • Previous supervisory, technical-lead, or project-lead experience.
  • Advanced knowledge of SQL, ETL/ELT, data modeling, and enterprise reporting platforms.
Preferred:
  • Experience working with healthcare data.
  • Experience with Epic Clarity, Caboodle, Power BI, Microsoft Fabric, Azure, Axiom, or Premier.
  • Master’s degree or relevant technical certification.

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