Machine Learning Data Engineer

Machine Learning Data Engineer, #645

Clearance: TSA Public Trust or the ability to obtain  

Dev Technology is looking for a new Data Engineer to contribute to our government customer's environment for automating data-intensive tasks for analytics and reporting. This is a new area for our customer, and the successful candidate will bring their data engineering and data management experience to the table in a variety of ways, such as helping define how best to create data structures that our data scientists can use for their experiments and models. We are looking for a self-starter, independent, willing to pitch in wherever it is needed inside the data management focus.

What You'll Be Doing 

The Data Engineer will work with our data visualization and data science teams to design and execute development tasks in support of their R&D use cases. This will bring together your current knowledge along with future learning opportunities in areas such as synthetic data creation, open source data capture and data management. There are plenty of new technologies to learn about in this role, and you will be at the front of that action. 

Required Education, Experience, and Skills:

• Bachelor’s degree required
• 5+ years in a data engineering role including databases, data integration, data mining, big data
• Experience working on a software development program with complex data management needs
• Experience with cloud data management strategies
• Experience with managing data flows in a Kubernetes environment
• Ability to learn new tools quickly as needed to provide new ideas for solving problems
• Ability and desire to work with other program staff and customers to reach design decisions within given constraints
• Excellent diplomacy and communication skills with both clients and technical staff

Preferred Education, Skills, and Experience:

• Experience defining data strategy, technology standards, best practices and data governance processes
• Familiarity with some of these tools: H2O, Postgres, Elastic Search, S3, Python, Jupyter Notebooks, Google Big Query
• Experience working with federal government clients
• Experience with ETL and business intelligence tools