About the role:

As a Data Engineer, you’ll be joining the team that is responsible for data integration, data collection and data science. Our Engineers construct, install, test and maintain highly scalable, state-of-the-art data management systems. This opportunity gives you the chance to work alongside some of the leading Data Engineers.

 What’s in it for you:

• Competitive compensation, benefits package and company perks
• Advancement opportunities with aggressive and structured career paths
• Flexible work hours and work-from-home options
• Access to the latest emerging technologies
• Reimbursement for continuous education and technical training

 What you’ll be doing:

• Assist in developing large-scale data structures and pipelines to ingest, move, transform and integrate data to help generate insights and meet reporting needs
• Build cubes, data marts and data models to support internal and external customers
• Document requirements and translate into proper system specifications
• Execute and coordinate requirements management and change management processes
• Support the maintenance of an on-premise Enterprise Data Warehouse
• Lead initiatives of limited scope, providing guidance and direction to level I Data Engineers

 What you need:

• Bachelor’s degree in Mathematics, Computer Science, Economics, Statistics, or related
• 3-5 years of experience with SQL Server (Versions – 2012, 2016 or 2017)
• 3+ year of experience in T-SQL with ability to write complex logic using SQL as part of ETL and effectively perform complex data analysis and discovery
• 2+ years of experience developing solutions in Microsoft Azure  
• 2+ years of development experience in Microsoft SQL Server Integration Services (SSIS) or other ETL delivery solutions
• 2+ years of experience building reports with SSRS
• Demonstrate strong organization skills and attention to detail
• Experience in multiple programming languages (R, Java, Python, etc.)
• Ability to multi-task in a fast-paced, changing environment
• Experience in API data integrations into Azure or on-premise databases
• Ability to self-motivate and meet deadlines