Data Engineer

Mindex is hiring a Data Engineer to design cloud-native pipelines and analytics solutions for SchoolTool’s interactive dashboards.

Responsibilities

• Build, test, scale, and maintain cloud-native data pipelines, data models, and warehouse structures for SchoolTool dashboards and analytics
• Develop analytics solutions using Python, Apache Spark, Snowflake, SQL, NoSQL, and BI tools such as Amazon QuickSight, Tableau, or Power BI
• Deliver large-scale, complex data solutions from data discovery and cleaning through model selection, validation, and deployment
• Work directly with customer stakeholders, aligning execution with their roadmap and vision
• Act as a primary point of contact when needed for stakeholder communication
• Independently deliver well-defined data solutions 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
• Use an AI-first mindset to improve productivity, accelerate problem-solving, enhance quality, automate routine tasks, and support innovation

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
• Hands-on experience with serverless platforms such as AWS Lambda and/or AWS Glue
• Experience with infrastructure as code using AWS CloudFormation and Terraform
• Familiarity with DevOps tools such as AWS CodePipeline, Azure DevOps, or GitLab
• Strong communication skills to explain complex information to team members 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
• Comfort working independently and collaboratively in a self-organizing team, asking questions when needed and giving and accepting feedback
• Use AI to augment expertise and decision-making while maintaining ownership, accountability, and professional judgment for final outcomes
• Identify opportunities to use AI to streamline workflows, reduce manual effort, improve efficiency, and increase business value
• Stay aware of emerging AI capabilities, tools, and best practices and proactively apply them in the workplace
• Use AI technologies ethically, securely, and in a compliant manner while protecting confidential customer and company information
• AWS Certification (Associate or Foundational) or applicable industry certifications (plus)

Technologies

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

Benefits

• Flexible Time Off
• Medical, Dental, and Vision Insurance
• 401(k) with Company Match
• Company-Paid Life and Disability Insurance
• Professional Development Opportunities

Location and Work Requirements

• Rochester, NY (onsite)
• Candidates within approximately 35 miles of Rochester, NY may be asked to work from the office more frequently based on business or team needs
• Occasional in-person participation is required

Licenses & Certifications

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

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 expected; exertion of up to 10 lbs

Salary: USD 90,000 - 140,000 per year