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

Mindex

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

Lead and mentor a team of data engineers, providing technical direction, coaching, and support for their professional development * Design and own the canonical/common data model that normalizes ...

Mindex

Data Architect - Remote

Rochester, NY · Remote

$120K - $173K/yr

Lead and mentor a team of data engineers, providing technical direction, coaching, and support for their professional development * Design and own the canonical/common data model that normalizes ...

Mindex

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

... Engineering, or equivalent experience Why Join Mindex? For more than 30 years, Mindex has helped ... smarter, data-driven decisions. * Fully Remote Work Environment * Flexible Time Off * Medical ...

Mindex

Data Engineer - Remote

Rochester, NY · On-site +1

$90K - $140K/yr

... Engineering, or equivalent experience Why Join Mindex? For more than 30 years, Mindex has helped ... data-driven decisions. Benefits * Fully Remote Work Environment * Flexible Time Off * Medical ...

Mindex

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

... Engineering, or equivalent experience Why Join Mindex? For more than 30 years, Mindex has helped ... data-driven decisions. Benefits * Fully Remote Work Environment * Flexible Time Off * Medical ...

Mindex

Data Engineer - Remote

Rochester, NY · Remote

$90K - $140K/yr

... Engineering, or equivalent experience Why Join Mindex? For more than 30 years, Mindex has helped ... data-driven decisions. Benefits * Fully Remote Work Environment * Flexible Time Off * Medical ...

IDEX

Data Analyst, Finance

West Henrietta, NY · On-site +1

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ...

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

Remote Data Engineering information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

How much do remote data engineering jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote data engineering in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Rochester, NY? The most popular types of Data Engineering jobs in Rochester, NY are:
What are popular job titles related to Remote Data Engineering jobs in Rochester, NY? For Remote Data Engineering jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Rochester, NY look for? The top searched job categories for Remote Data Engineering jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Remote Data Engineering jobs? Cities near Rochester, NY with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Rochester, NY as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% Remote job distribution, with an average salary of $127,987 per year, or $61.5 per hour.
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

Posted 7 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.

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