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Senior Site Reliability Engineer (SRE)
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Mindex

Data Engineer

Rochester, NY, United States

$90,000 - $140,000

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Job details

Pay: $90,000 - $140,000
Experience: 3-5 years of data engineering experience, including implementing a data pipeline for an enterprise application.
Posting language: English
Posted: Oct 30, 2026

Original job description

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.

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More about this job

Skills

Computer science
Data engineering
AWS
Infrastructure as code
IBM Terraform
DevOps
Microsoft Azure
GitLab
Communication skills
Critical thinking
Problem solving
Customer service
Work independently
AWS certification
Heavy lifting

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