Data Engineer

Mindex is looking for a Data Engineer to help SchoolTool power interactive dashboards and analytics with cloud-native data pipelines, data models, and warehouse structures. In this onsite role in Rochester, NY, you will build analytics solutions, collaborate with delivery teams and customer stakeholders, and apply AI-assisted engineering practices across planning through troubleshooting. The position offers Flexible Time Off, medical, dental, and vision insurance, a 401(k) with company match, company-paid life and disability insurance, and professional development opportunities.

What you will do

• Build, test, scale, and maintain cloud-native data pipelines, data models, and warehouse structures supporting SchoolTool’s dashboards and analytics.
• Develop analytics solutions using Python, Apache Spark, Snowflake, SQL, and NoSQL technologies, along with BI tools such as Amazon QuickSight, Tableau, or Power BI.
• Contribute end-to-end to complex data solutions, from data discovery and cleaning through model selection, validation, and deployment.
• Work directly with customer stakeholders, align deliverables to their roadmap and vision, and act as a primary contact when needed.
• Deliver well-defined data solutions independently and participate in technical design decisions.
• Build strong technical and non-technical connections within your team, across Mindex delivery teams, and with customer stakeholders.
• Use AI-assisted engineering and the AI DLC across planning, design, development, testing, documentation, and troubleshooting.
• Maintain an AI-first mindset to improve productivity, accelerate problem-solving, enhance quality, automate routine tasks, and support innovation.

What you bring

• 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 and 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 such as AWS CodePipeline, Azure DevOps, or GitLab.
• Strong communication skills to clearly explain complex information to technical teams and customer stakeholders.
• Strong analytical and problem-solving skills with a focus on exceptional customer service.
• High organization and accuracy, with strong initiative and follow-through.
• Comfort working both independently and in a collaborative, self-organizing team, including asking questions and providing or accepting feedback.
• Ability to use AI to augment expertise and decision-making while maintaining ownership, accountability, and professional judgment for final outcomes.
• Ability to identify opportunities to use AI to streamline workflows, reduce manual work, improve efficiency, and increase business value.
• Awareness of emerging AI capabilities, tools, and best practices, with proactive identification of workplace applications.
• Sound judgment for ethical, secure, and compliant use of AI technologies while protecting confidential customer and company information.
• AWS Certification (Associate or Foundational) or applicable industry certifications are a plus.

Technologies you may use

• Python, Apache Spark, Snowflake, SQL, NoSQL
• Amazon QuickSight, Tableau, Power BI
• AWS Lambda, AWS Glue, AWS CloudFormation, Terraform
• AWS CodePipeline, Azure DevOps, GitLab

Location and work expectations

This role is onsite in Rochester, NY. Mindex welcomes candidates from a variety of locations; however, candidates should be open to occasional in-person participation. 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.

Additional details

• 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 expected; exertion up to 10 lbs.