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

baker

Sr. Project Manager - Data Centers

Reno, NV · On-site

... and integration with field operations. * Coordinate procurement, material submittals, equipment ... DATA CENTER EXPERIENCE PREFERRED: * Experience managing electrical scopes in hyperscale, colocation ...

Baker-Electric

Sr. Project Manager - Data Centers

Reno, NV · On-site

$140K - $185K/yr

... and integration with field operations. * Coordinate procurement, material submittals, equipment ... DATA CENTER EXPERIENCE PREFERRED: * Experience managing electrical scopes in hyperscale, colocation ...

SITEMETRIC LLC

Field Tech II

Reno, NV · Remote

Manage Field Operations Independently : Organize daily activities, manage time effectively ... Familiarity with Cloud platforms and basic understanding of data integration * Ability to quickly ...

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

Data Integration Manager information

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How much do data integration manager jobs pay per hour?

As of Jul 16, 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.

Is data integration a good career?

Data Integration Managers oversee the process of combining data from different sources to ensure consistency and accessibility, often using tools like ETL software and SQL. The role is in demand across industries such as finance, healthcare, and technology, offering opportunities for advancement and specialization. Strong technical skills, problem-solving ability, and knowledge of data governance are essential for success in this field.

What does an integration manager do?

An integration manager oversees the process of combining different software systems and data sources to ensure they work together effectively. They coordinate technical teams, develop integration strategies, and use tools like APIs and middleware to facilitate seamless data flow and system interoperability.

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 are some common challenges Data Integration Managers face 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 does a data integration manager do?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality, consistency, and accessibility. They design and implement data workflows, often using tools like ETL (Extract, Transform, Load) processes, and coordinate with IT and data teams to support business analytics and decision-making.

Is AI replacing data entry jobs?

AI is automating many data entry tasks, which can reduce the need for manual input and increase efficiency. Data Integration Managers often oversee the implementation of such technologies, requiring skills in data management tools and understanding of automation processes. While some routine jobs may decline, new roles focusing on managing and optimizing AI systems are emerging in the field.
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 Center Technician

The Archetype Strategy

Verdi, NV • On-site

Contractor

Re-posted yesterday

Job description

The Archetype Strategy is seeking a detail-oriented and skilled Data Center Technician to join our team. In this role, you will be responsible for the critical infrastructure setup within data centers, including installing data cabinets, supporting pathways such as basket trays, and running pre-connectorized fiber. You will play a key part in ensuring that our data centers operate efficiently, reliably, and securely.

Key Responsibilities:

  • Data Cabinet Installation: Install and align data cabinets and racks according to technical specifications and project requirements.
  • Pathway Support Setup: Design and install pathway support systems, such as basket trays and cable management solutions, ensuring optimal organization and efficiency.
  • Fiber Optic Installation: Run, terminate, and secure pre-connectorized fiber cables, ensuring accuracy and reliability in data transmission.
  • System Integration: Collaborate with engineering teams to ensure seamless integration of infrastructure with existing systems.
  • Quality Assurance: Conduct testing and inspections to ensure installations meet industry standards and company guidelines.
  • Documentation: Maintain detailed records of installations, configurations, and modifications within the data center.
  • Safety Adherence: Comply with all safety protocols and regulations, maintaining a safe and secure working environment.

Qualifications: Required Skills and Experience:

  • Demonstrated experience in data center installation or a related technical field.
  • Expertise in installing data cabinets, rack systems, and supporting infrastructure such as basket trays.
  • Hands-on experience with pre-connectorized fiber cable installation and management.
  • Familiarity with data center standards such as TIA/EIA-942 and BICSI guidelines.
  • Strong ability to read and interpret technical diagrams, blueprints, and layouts.
  • Excellent problem-solving skills and meticulous attention to detail.

Preferred Skills:

  • Experience working within operational data centers.
  • Knowledge of structured cabling systems and industry best practices.

Physical Requirements:

  • Capability to lift and handle equipment weighing up to 50 pounds.
  • Ability to work in confined spaces or at heights as required.
  • Flexibility to work extended hours or shifts based on project demands.

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