Cloud Data Engineer - Hybrid (Req. #510)

Founded in 1994, Mindex is a software development company with a rich history of demonstrated software and product development success. Our three divisions – Cloud, SchoolTool, and Software Development – are all rapidly growing, and our employee base is close to 400. We are ranked the Best Software Developer in the RBJ’s 2022 Reader Rankings, the #1 Software Developer in the 2022 RBJ’s Book of Lists, and a 2022 Certified Great Place to Work.

Mindex’s Cloud division is a dedicated group of cloud experts with extensive knowledge of workloads on AWS and Azure. We are an AWS Advanced Services Partner, and specialize in cloud-native application development, application modernization, devops enablement, cloud managed services, cloud migration, and big data and analytics.

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 explanation will be necessary to keep clients, senior management and staff aligned and engaged.

Duties and Responsibilities

• Communicates directly with client stakeholders while possessing the ability to provide high level overview of completed tasks and convey project vision.
• Builds technical and non-technical relationships inside of one’s team, across Mindex delivery teams and with Customer stakeholders.
• Applies software development experience using analytics tools and/or programming languages (R, Python, Spark, Hadoop, etc.), databases (SQL and no-SQL), or data visualization tools (Quicksight, Tableau, Power BI, etc.)
• Design, build, test, scale and maintain cloud-native data pipelines from a variety of source systems and streams.
• Ability to solve Cloud-native data engineering problems end to end, including data discovery, cleaning, model selection, validation, and deployment.
• Experience using AWS QuickSight as a data visualization tool.
• Experience using AWS Redshift and/or AWS Aurora, CI/CD tooling such as AWS CodeCommit, Azure Devops, or Gitlab and working with AWS Lambda and/or AWS Glue.

Requirements

• Strong communication skills to exchange ideas and convey complex information clearly and concisely with members of your team as well as customer stakeholders
• Experience implementing a data pipeline for an enterprise application
• Strong analysis, critical-thinking capabilities and problem-solving skills
• Strong focus on exceptional customer service
• Highly organized and accurate
• Strong initiative and follow-through skills
• Aptitude and desire to work in a highly collaborative, self-organizing, team environment
• Willingness and ability to provide and accept feedback
• Ability to work independently but ask questions when needed

• Innovative, collaborative, and trustworthy approach to work

Benefits

• Health insurance
• Paid holidays
• Paid time off
• 401k retirement savings plan and company match with pre-tax and ROTH options
• Dental insurance
• Vision insurance
• Employer paid disability insurance
• Life insurance and AD&D insurance
• Employee assistance program
• Flexible spending accounts
• Health savings account with employer contributions
• Accident, critical illness, hospital indemnity, and legal assistance
• Adoption assistance
• Domestic partner coverage

Mindex Perks

• Tickets to local sporting events
• Teambuilding events
• Holiday and celebration parties

Professional Development

• Leadership training
• License to Udemy online training courses
• Growth opportunities