Data Engineer

Mindex

. Build, test, scale, and maintain cloud-native data pipelines, data models, and warehouse structures for SchoolTool’s dashboards and analytics.

Posted 10/31/2026full-timeRochester • New York • United StatesMid-LevelSenior💰 $90,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining cloud-native data pipelines and analytics solutions using Python, Apache Spark, and Snowflake. Strong ability to engage with stakeholders, apply AI-assisted engineering practices, and deliver high-quality data solutions independently and collaboratively.

Highest-signal resume keywords

Data Engineering ExperiencePython DevelopmentAWS LambdaAI-Assisted Engineering PracticesStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline ImplementationSQLNoSQL DatabasesOLTP DatabasesOLAP DatabasesInfrastructure as CodeAWS CloudFormationTerraformApache SparkData Modeling

Soft Skills

Analytical SkillsCritical ThinkingProblem-SolvingOrganizational SkillsCustomer Service

Tools & Technologies

Amazon QuickSightTableauPower BIAWS GlueAWS CodePipelineAzure DevOpsGitLab

Certifications & Qualifications

AWS Certification

Industry Keywords

Cloud-NativeData SolutionsAI TechnologiesData DiscoveryData Cleaning

Tech Stack

Tools & technologies

ApacheAWSAzureCloudNoSQLPythonSnowflakeSparkSQLTableauTerraform

About the role

Key responsibilities & impact

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, align work 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 the 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.
Leverage AI-assisted tools and technologies to enhance productivity, accelerate problem-solving, improve quality, automate routine tasks, and drive innovation.

Requirements

What you’ll need

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.
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.
AWS Certification (Associate or Foundational) or applicable industry certifications are a plus.
Must be authorized to work for any employer in the United States; employment visa sponsorship is unavailable.

Benefits

Comp & perks

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