Engineer Jobs

About The Position

Requirements

• Master’s degree.
• Bachelor’s degree in an analytical field such as Mathematics, Computer Science, Information Management, Statistics, Engineering, or Business Analytics.
• Five years of demonstrated experience working with relational databases in the context of developing ETL processes and implementing data and analytics solutions.
• Five years of experience maintaining databases and tools in a production environment, including query performance tuning and proactive maintenance.
• Five years of experience with advanced programming in SQL and R or Python, deploying analytics models and tools in a production environment with relational databases.
• Proficiency with relational databases and writing SQL queries.
• Proficiency programming in R or Python in data science and/or engineering settings.
• Proficiency with Excel and Power BI.
• Proficiency with source control tools such as GitHub, SVN, or Tortoise in a multi-developer environment.
• Proficiency with cloud computing environments such as AWS.
• Demonstrated expertise working with formal software development methodologies.
• Demonstrated expertise developing and maintaining pricing optimization and/or operational efficiency algorithms in a cloud computing environment such as AWS and/or enterprise IT environments.
• Must currently reside in the metro Phoenix, Arizona area.
• Must be able to work in the office four days per week and remotely one day per week.

Responsibilities

• Design, validate, and evaluate solutions using R, Python, SQL, and other programming tools.
• Design and build pricing optimization algorithms and rules-based pricing recommendations for new and existing customers.
• Design and implement the architecture, tools, and processes needed to provide a single source of truth for data-driven decision-making and self-service.
• Develop and manage end-to-end project plans and ensure on-time delivery.
• Educate and mentor team members on data, reports, and tools.
• Write ETL scripts using SQL Server Integration Services (SSIS) or similar tools to consume and process new data into the data warehouse.
• Design and build automated processes using Excel, SQL, and VBA to facilitate data transfer across teams.
• Design dashboards and tools that allow users to consume and interact with data.
• Implement in-database machine learning solutions using SQL Server and R or Python.
• Stay current with technology and implement proof-of-concepts for internal customers.
• Develop technology road maps and maintain system and tool documentation.
• Perform other job-related duties as assigned or apparent.

Benefits

• Comprehensive medical benefits coverage
• Dental plans
• Vision coverage
• Health care and dependent care spending accounts
• Short- and long-term disability
• Life insurance
• Accidental death and dismemberment insurance
• Employee and Family Assistance Program (EAP)
• Employee discount programs
• Retirement plan with a generous company match
• Employee Stock Purchase Plan (ESPP)
• Paid Time Off (PTO)