EnerNOC, a leading provider of demand response and energy efficiency solutions, has an immediate need for a Senior Big Data Software Engineer to join our world-class Engineering organization. We are building EnerNOC's next generation data services and analytics platform, and we need exceptional people to help us do it! A Big Data Engineer on the Data Platform team is ideally a strong generalist with experience using NoSQL solutions. If you love solving scalability puzzles, working with large data sets and have the drive necessary to optimize performance of high-visibility smart grid systems, then this is the position for you!

Key Responsibilities:

• Work with the platform team to identify, evaluate and implement NoSQL storage solutions
• Design strategies for storing structured and unstructured data
• Write code in a variety of languages
• Assist in architecting and deliver software components
• Author and maintain technical specifications

Required Qualifications:

• Bachelor's or Master's Degree in Computer Science, Software Engineering or related field;
• 3+ Experience implementing solutions built on NoSQL database technologies systems (HBase, Hadoop, DynamoDB , MongoDB, etc…)
• 5+ years professional experience designing and developing Java applications;
• 3+ years of experience developing and working on big data platforms leveraging services like Dynamo, Redshift, Lambda , Kinesis and EMR
• Experience working with large data sets
• Big Data concepts such as map reduce,
• Deep understanding of one (or more) of the following languages: Scala, Python and Java
• Experience implementing and using RESTful APIs
• Experience with source control, build systems, and testing tools.
• Excellent communication and collaboration skills
• Ability to work from our Boston office

Desired Qualifications:

• Experience with a big data database management system (e.g. Cassandra, HBase)
• Experience running and administering applications on Amazon Web Services 
• Experience working with Amazon Web Services (AWS) and cloud management tools;
• Prior experience building ETL systems
• Experience with Spark and R
• Experience working in an agile environment (Scrum, Kanban, etc.)