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Data Engineer - Hybrid

Mindex Open
On-site Rochester Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Mindex. Rochester · full-time · $90,000–$140,000 base.

SalaryStated by Mindex
$90,000 – $140,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SeniorityMid-level
LocationRochester
WorkplaceOn-site
EmploymentFull-time
Base pay$90,000–$140,000
PostedOct 30, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain cloud-based pipelines, data models, and warehouse structures that support SchoolTool dashboards and analytics
  • Use Python, Spark, Snowflake, SQL and NoSQL databases, plus visualization tools, to develop analytics solutions
  • Take data projects from discovery and cleanup through model choice, validation, and deployment
  • Work with customer stakeholders on their roadmaps, serving as their main contact when needed
  • Deliver defined solutions independently, shape technical decisions, and apply AI tools across the engineering process

What you bring

  • You have three to five years in data engineering, including building a pipeline for an enterprise application
  • You have worked with both OLTP and OLAP databases and serverless services such as AWS Lambda or AWS Glue
  • You have used AWS CloudFormation and Terraform for infrastructure as code, plus a listed DevOps tool
  • You can explain complex technical information clearly to teammates and customer stakeholders

Who this fits

This role suits a mid-level data engineer who can own defined work independently while contributing to team design and customer discussions. You should be open to occasional in-person meetings or events; those within roughly thirty-five miles of Rochester may be asked to come in more often. Applicants must already be authorized to work for any U.S. employer, as visa sponsorship is unavailable.

From the employer

Mindex is looking for a Data Engineer to build the data pipelines, models, and warehouse structures behind SchoolTool’s interactive dashboards and analytics. You’ll work with the product team, customers, and fellow engineers to deliver reliable, maintainable data solutions and help shape technical design. The ideal candidate is analytical, communicates clearly, and is eager to take on new challenges and grow.

We welcome candidates from a variety of locations; however, all candidates should be open to occasional in-person participation for business meetings, team events, or collaboration opportunities. Candidates located within approximately 35 miles of Rochester, NY may be asked to work from the office more frequently based on business or team needs.

Compensation

$90,000 - $140,000

What You’ll Accomplish

  • Build, test, scale, and maintain cloud-native data pipelines, data models, and warehouse structures for SchoolTool’s dashboards and analytics.
  • Develop analytics solutions with Python, Apache Spark, Snowflake, SQL and NoSQL databases, and tools like Amazon QuickSight, Tableau, or Power BI.
  • Contribute to large-scale, complex data solutions, from data discovery and cleaning through model selection, validation, and deployment.
  • Engage directly with customer stakeholders, deliver work aligned with their roadmap and vision, and serve as their primary contact when needed.
  • Deliver well-defined data solutions independently and contribute to technical design decisions.
  • Build technical and non-technical connections within your team, across Mindex delivery teams, and with customer stakeholders.
  • Apply AI-assisted engineering practices and the AI DLC across planning, design, development, testing, documentation, and troubleshooting.
  • Demonstrate an AI-first mindset by effectively leveraging AI-assisted tools and technologies to enhance productivity, accelerate problem-solving, improve quality, automate routine tasks, and drive innovation in the delivery of solutions and services.

Requirements

  • AS or BS degree in Computer Science, Software Engineering, Physical Science, Mathematics, or a related field preferred, or an equivalent combination of education and experience.
  • 3-5 years of data engineering experience, including implementing a data pipeline for an enterprise application.
  • Experience with OLTP and OLAP databases, plus hands-on experience with serverless platforms such as AWS Lambda and/or AWS Glue.
  • Experience with infrastructure as code using AWS CloudFormation and Terraform, and familiarity with DevOps tools like AWS CodePipeline, Azure DevOps, or GitLab.
  • Strong communication skills to explain complex information clearly to your team and customer stakeholders.
  • Strong analytical, critical-thinking, and problem-solving skills, with a focus on exceptional customer service.
  • Highly organized and accurate, with strong initiative and follow-through.
  • Comfortable working independently and in a collaborative, self-organizing team, asking questions when needed and giving and accepting feedback.
  • Uses AI to augment expertise and decision-making while maintaining ownership, accountability, and professional judgment for final work products and outcomes.
  • Identifies opportunities to use AI to streamline workflows, reduce manual effort, improve efficiency, and increase business value.
  • Maintains awareness of emerging AI capabilities, tools, and best practices and proactively identifies opportunities to apply them in the workplace.
  • Demonstrates sound judgment in the ethical, secure, and compliant use of AI technologies while protecting confidential, customer, and company information.

Licenses & Certifications:

  • AWS Certification (Associate or Foundational) or applicable industry certifications are a plus.

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

  • 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.
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$90k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.