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

Innovative Solutions

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 ...

Innovative Solutions

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 ...

PuroClean

Social Media Managers 2026

Rochester, NY · On-site +1

$3.9K/mo

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 ...

Iff

Technical Service Account Manager

Rochester, NY · On-site +1

This role is based in United State and is a remote position. You will be part of a collaborative ... performance optimization * Analyze process and laboratory data to identify improvement ...

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All JobsData Optimization JobsRemote Data Optimization JobsRemote Data Optimization Jobs in Rochester, NY

Remote Data Optimization information

See Rochester, NY salary details

$16

$56

$80

How much do remote data optimization jobs pay per hour?

As of Aug 16, 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 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 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.

Are there actually remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting, updating, and managing data from a home environment. These roles often require basic computer skills, attention to detail, and familiarity with spreadsheet or database software. They are commonly offered by companies seeking flexible, part-time, or freelance workers.

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 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:

Remote Data Optimization jobs near you
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.

Data Engineer (Azure & Snowflake) - Remote

Mindex

Rochester, NY • On-site, Remote

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago

Job description

Mindex is looking for a Data Engineer who enjoys building modern cloud-based data solutions that help organizations make smarter business decisions. In this role, you'll develop scalable data pipelines, integrate data from multiple business systems, and deliver reliable datasets that power analytics, reporting, automation, and internal AI initiatives.
You'll partner with business and technical stakeholders to understand data needs, design practical solutions, and ensure data is accurate, accessible, and ready for decision-making. The ideal candidate enjoys solving complex data challenges, writing clean and efficient code, and building dependable data platforms in Azure and Snowflake.
Compensation
$90,000 - $140,000
What You'll Accomplish
  • Design, develop, and maintain scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python.
  • Build ETL and ELT processes that integrate data from enterprise applications, APIs, and third-party systems.
  • Develop reliable datasets and data models that support reporting, business intelligence, automation, and AI initiatives.
  • Partner with business stakeholders to gather requirements and translate business needs into technical solutions.
  • Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data quality.
  • Perform data validation, testing, and reconciliation to ensure accurate and trusted data.
  • Document data flows, source-to-target mappings, and technical processes to support ongoing maintenance and knowledge sharing.
  • Collaborate with cross-functional teams to continuously improve the organization's cloud data platform and engineering practices.

Requirements
  • 3 - 5+ years of experience in data engineering, ETL development, or data integration.
  • Experience working with Snowflake or another modern cloud data warehouse, including data modeling, transformations, and performance optimization.
  • Hands-on experience with Azure Data Factory or a similar cloud-based orchestration tool, including pipeline orchestration and workflow management.
  • Experience working with Azure Data Lake Storage or similar cloud storage platforms.
  • Strong SQL skills, including writing complex queries, optimizing performance, and working with large datasets.
  • Experience developing data solutions using Python.
  • Understanding of data warehousing concepts, ETL/ELT processes, and dimensional modeling.
  • Experience integrating data through APIs and working with JSON, XML, or similar data formats.
  • Experience integrating enterprise SaaS applications such as Salesforce, Workday, GA4, Marketo, or similar business systems.
Preferred
  • Experience with dbt or similar modern data transformation frameworks.
  • Experience supporting AI or machine learning initiatives through data engineering.
  • Experience using AI-assisted development tools while following responsible AI and security practices.

Why Join Mindex?
For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients.
In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.
Benefits
  • Fully Remote Work Environment
  • Flexible Time Off
  • Medical, Dental, and Vision Insurance
  • 401(k) with Company Match
  • Company-Paid Life and Disability Insurance
  • Professional Development Opportunities

Additional Information
Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time.
Physical Requirements/Conditions
  • Prolonged periods sitting at a desk and working on a computer.
  • No heavy lifting is expected. Exertion of up to 10 lbs.

Apply