13 days ago
Rochester, NY, USAMid Level / Senior
Base Salary
$90k - $140k/yr
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 and NoSQL databases, and Amazon QuickSight, Tableau, or Power BI.
- Perform data discovery and cleaning, model selection, validation, and deployment for large-scale data solutions.
- Engage directly with customer stakeholders, align delivery with their roadmaps, and serve as a primary customer contact when needed.
- Deliver data solutions independently and contribute to technical design decisions.
- Use AI-assisted engineering practices across planning, design, development, testing, documentation, and troubleshooting.
- Identify and apply AI capabilities to improve productivity, automate routine work, and increase business value while protecting confidential information.
Requirements
- An AS or BS degree in Computer Science, Software Engineering, Physical Science, Mathematics, or a related field is 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.
- Familiarity with DevOps tools such as AWS CodePipeline, Azure DevOps, or GitLab.
- Strong communication, analytical, critical-thinking, problem-solving, organization, initiative, and follow-through skills.
- Ability to work independently and collaboratively while maintaining ownership, accountability, professional judgment, and ethical use of AI technologies.
- AWS Associate or Foundational certification or applicable industry certification is a plus.
Benefits
- Hybrid workplace with occasional in-person participation for meetings, team events, or collaboration; candidates near Rochester, NY may be asked to work from the office more frequently.
- Flexible time off.
- Medical, dental, and vision insurance.
- 401(k) with company match.
- Company-paid life and disability insurance.
- Professional development opportunities.
Tech Stack
Categories
Data Engineering
