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

Haley & Aldrich

Senior Environmental Engineer 1

Rochester, NY · On-site +1

$101K - $138K/yr

A remote position may be considered for the ideal candidate. DUTIES/RESPONSIBILITIES In this ... Perform routine data collection and optimization activities for remediation systems. * Conduct ...

Haley & Aldrich

Senior Environmental Engineer 1

Rochester, NY · On-site +1

$101K - $138K/yr

A remote position may be considered for the ideal candidate. DUTIES/RESPONSIBILITIES In this ... Perform routine data collection and optimization activities for remediation systems. * Conduct ...

Rochester Regional Health

Coder - Inpatient

Rochester, NY · On-site +1

$21.50 - $26/hr

SUMMARY Review clinical documentation and diagnostic results to extract data and apply appropriate ... Riedman- Remote SCHEDULE: Day shift ATTRIBUTES * Abides by the Standards of Ethical Coding as set ...

Rochester Regional Health

Coder - Inpatient

Rochester, NY · On-site +1

$21.50 - $26/hr

Riedman- Remote Hours Per Week: 40 Schedule: Full-Time, Day Shift, Monday to Friday (7.00 am - 3:30 pm) Position Summary: Review clinical documentation and diagnostic results to extract data and ...

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

Remote Data Extraction information

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What jobs pay 4000 a week without a degree?

Remote data extraction roles can pay around $4,000 per week for experienced professionals, especially those skilled in data scraping, automation tools, and programming languages like Python or SQL. These positions often require strong technical skills, self-motivation, and the ability to work independently, with some roles offering high pay based on project complexity and volume.

How to make $1000 a week remotely?

Remote data extraction jobs can pay between $10 and $25 per hour, so earning $1000 weekly typically requires working 40 to 50 hours. Developing strong data handling skills, familiarity with tools like Excel or data scraping software, and maintaining consistent productivity can help achieve this income level. Building a reliable client base or working through reputable platforms can also increase earning potential.

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

What are the key skills and qualifications needed to thrive as a Remote Data Extraction Specialist, and why are they important?

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

How to become a data extractor?

To become a remote data extractor, you should develop skills in data collection, cleaning, and analysis, often using tools like Excel, SQL, or web scraping software. Relevant experience, attention to detail, and the ability to work independently are important, and some roles may require basic knowledge of programming languages such as Python or JavaScript.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

Is 40 too late for data science?

Age is not a strict barrier for a remote data extraction or data science role; many professionals transition into the field later in life. Success depends on skills, experience, and continuous learning of tools like Python, SQL, and machine learning concepts, regardless of age.
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What cities near Rochester, NY are hiring for Remote Data Extraction jobs? Cities near Rochester, NY with the most Remote Data Extraction job openings:
Remote Data Extraction jobs near you
Infographic showing various Remote Data Extraction job openings in Rochester, NY as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Data Engineer (Azure & Snowflake) - Remote

Data Engineer (Azure & Snowflake) - Remote

Mindex

Rochester, NY • On-site, Remote

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

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