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Remote Data Optimization Jobs in Rochester, NY (NOW HIRING)

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI ...

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

This can be a remote opportunity, with 2 weeks of travel into Rochester, NY per quarter What You'll ... Design star/snowflake schemas, materialized views, and gold-layer models optimized for BI ...

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Conversion Rate Optimization: * Identify areas of the user journey with conversion bottlenecks and ... Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ...

Hybrid (Remote/Office) | Global About the Role: Google is looking for a passionate and results ... Lead the planning, execution, and optimization of integrated digital marketing campaigns across ...

Senior Tax Manager

Rochester, NY · On-site +1

$140K - $150K/yr

... data analytics, and process optimization initiatives using SAP, Analysis for Office, Corptax, and ... Demonstrated success managing remote/offshore teams and external service providers. Exceptional ...

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Remote Data Optimization information

See Rochester, NY salary details

$16

$56

$80

How much do remote data optimization jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote data optimization in Rochester, NY is $56.06, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $66.39 per hour, depending on experience, location, and employer.

What is a remote data optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote data optimization specialist?

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are remote data optimization jobs?

Remote data optimization jobs involve analyzing and improving the efficiency, accuracy, and accessibility of data within an organization. These roles often require skills in data management, database tools, and programming languages like SQL or Python, and may involve tasks such as data cleaning, structuring, and implementing data storage solutions from a remote work environment.

What are popular job titles related to Remote Data Optimization jobs in Rochester, NY?

For Remote Data Optimization jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Data Optimization jobs in Rochester, NY look for?

The top searched job categories for Remote Data Optimization jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Data Optimization jobs?

Cities near Rochester, NY with the most Remote Data Optimization job openings:

Infographic showing various Remote Data Optimization job openings in Rochester, NY as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,595 per year, or $56.1 per hour.

Only W2 || Data Engineer (Linux, GCP, Globus) || Remote

Noblesoft Technologies

Rochester, NY • Remote

Contractor

Re-posted 29 days ago


Job description

Job Title: Data Engineer (Linux, GCP, Globus)
Location: Rochester, NY
Remote (Y/N): Yes (but preference is local profiles)
Duration: 9 Months

Mandatory skills: Linux, GCP, Globus
Submission Requirements: Resume highlighting Globus, GCP, and MFT experience - short summary in the resume top, aligning to role requirements
Job Description: The contractor will support the implementation, configuration, and operationalization of Globus Managed File Transfer (MFT) platform within a GCP-hosted Data DMZ environment. Responsibilities include completing Globus Connect Server deployment, configuring storage gateways and data transfer workflows, and onboarding research users while providing Tier 1/2 operational support. The role will focus on managing large-scale, secure data transfers, maintaining platform health, optimizing performance, and ensuring compliance with security and governance standards (HIPAA, NIST, Zero-Trust). The contractor will work closely with internal teams and stakeholders to establish operational processes, support production readiness, and deliver documentation and knowledge transfer to enable long-term ownership by the Enterprise Interfaces team. 
 
Required Skills: 
- 3+ years Globus platform experience (GCS v5, endpoints, collections) 
- Strong GCP (Compute Engine, Cloud Storage, IAM, networking) 
- Linux system administration and scripting (Bash) 
- Understanding of GridFTP and high-throughput data transfers 
- Experience with networking, security, and Zero-Trust principles 
- Background in MFT or large-scale data transfer environments 
 
Key Competencies: 
- Self-directed troubleshooting across infrastructure layers 
- Strong communication with technical teams and end users  
- Ability to support research/customer-facing workflows 
- Documentation and knowledge transfer mindset 
- Comfortable navigating governance and compliance processes 
 
Nice to Have: 
- Healthcare / regulated environment experience 
- Terraform / IaC or Azure DevOps exposure 
- Sailpoint or identity governance tools 
- HPC or research data workflows 
- Monitoring/observability tools Submission