Remote Data Engineer Job in Rochester, NY Mindex

Who you are

• AS or BS degree in a related field or equivalent education
• 3-5 years software development experience
• Experience with analytics tools or programming languages (Python, R, Spark, Hadoop, etc.)
• Experience with SQL and no-SQL databases
• Experience with data visualization tools (Quicksight, Tableau, Power BI, etc.)
• Experience building, testing, scaling, and maintaining Cloud-native data pipelines
• Experience with OLTP and OLAP databases
• Familiarity with DevOps tools like AWS CodePipeline, Azure DevOps, or GitLab
• Experience with infrastructure as code using AWS CloudFormation and Terraform
• Experience with serverless compute platforms like AWS Lambda and AWS Glue
• Familiarity with AWS AI/ML services like Amazon Q, Bedrock, and Sagemaker
• Strong communication skills
• Strong analysis and problem-solving skills
• Focus on customer service
• Highly organized and accurate
• Strong initiative and follow-through
• Collaborative team environment competence
• Ability to work independently but seek assistance when needed

Desirables

• Strong communication skills
• Experience with data pipeline
• Strong analysis
• Customer service focus
• Well organized
• Strong initiative
• Highly collaborative
• Willingness to accept feedback
• Ability to work independently

What the job involves

• Deliver data focused, cloud native software solutions to various clients
• Provide input to architectural and software solutions inspired by project challenges
• Engage directly with client stakeholders and complete project tasks aligning with client vision
• Develop both technical and non-technical connections within the team, across Mindex delivery teams, and with customer stakeholders
• Apply software development experience using analytics tools and/or programming languages, databases, or data visualization tools
• Build, test, scale, and maintain Cloud-native data pipelines
• Contribute to the design, execution, and successful delivery of large-scale, critical, or complex data solutions
• Use DevOps tools and infrastructure as code for data engineering tasks
• Utilize AWS AI/ML services for data engineering projects