Founded in 1994 and celebrating 30 years in business, Mindex is a software development company with a rich history of demonstrated software and product development success.

We specialize in agile software development, cloud professional services, and creating our own innovative products.

We are proud to be recognized as the #1 Software Developer in the 2023 RBJ's Book of Lists and ranked 27th in Rochester Chamber’s Top 100 Companies.

Additionally, we have maintained our certification as a Great Place to Work for consecutive years in a row.

Our list of satisfied clients and #ROCstar employees are both rapidly growing— Are you next to join our team?

Mindex’s Software Development division is the go-to software developer for enterprise organizations looking to engage teams of skilled technical resources to help them plan, navigate, and execute through the full software development lifecycle.Overview:Using highly developed analytical, technical, and conceptual skills, the Data Engineer will deliver data focused, cloud native software solutions to various clients.

The Mindex interactive process of Agile product development often requires adaptation in approach based on client norms and feedback.

The Data Engineer will be inspired by the challenges a new project brings and will provide crucial input to our architectural and software solutions.

Effective verbal and written communication, and easy to understand technical explanations will be necessary to keep clients, senior management and staff aligned and engaged.Essential Functions: Engages directly with client stakeholders and possesses the ability to complete project tasks that align with the customers’ roadmap and vision.

May serve as the primary contact for customers.

Develops both technical and non-technical connections within one's team, across Mindex delivery teams, and with customer stakeholders.

Applies software development experience using analytics tools and/or programming languages (Python, R, Spark, Hadoop, etc.), databases (SQL and no-SQL), or data visualization tools (Quicksight, Tableau, Power BI, etc.) Build, test, scale and maintain Cloud-native data pipelines.

Contributes to the design, execution, and successful delivery of large-scale, critical, or complex data solutions, encompassing tasks such as data discovery, cleaning, model selection, validation, and deployment.

Experience with OLTP and OLAP databases.

Experience with Redshift a plus.

Familiarity with DevOps tools like AWS CodePipeline, Azure DevOps, or GitLab.

Experience with infrastructure as code using AWS CloudFormation and Terraform.

Hands-on experience with serverless compute platforms like AWS Lambda and/or AWS Glue.

Familiarity with AWS AI/ML services such as Amazon Q, Bedrock and Sagemaker