Data Engineer

NinjaHoldings is a company focused on revolutionizing financial services for everyday Americans. They are seeking a Data Engineer to build tooling for analytics, optimize data pipeline architecture, and supervise junior engineers while collaborating with the Development team.

Responsibilities:

• Supervise junior members of the data engineering team. Guiding, planning, and reviewing the team's work
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Extend our machine learning platform by designing tools that interface with cloud services, our current code base, and provide new flexibility in model building
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, and AWS
• Build analytics tools to provide actionable insights into key business performance metrics, as well as supporting the needs of the analytics team
• Create data-handling tools for analytics and data scientist team members that assist them in building and optimizing our decision-making process

Requirements:

• 3+ years of experience in a Data Engineer role
• Bachelors degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• Advanced working SQL knowledge and experience working with relational databases (including Postgres and MySQL), query authoring (SQL), as well as working familiarity with a variety of databases
• Experience building data pipelines, architectures, and data sets from raw, loosely structured data
• A history of focusing on test driven design and results for repeatable and maintainable processes and tools
• Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
• Working knowledge of message queuing, stream processing, and highly scalable data stores
• Strong project management and organizational skills and the ability to work independently in a fast-paced, quickly changing environment. Ability to keep up with several projects at once and understand the impact of projects within a larger system
• Experience supporting and working with cross-functional teams in a dynamic environment
• Experience managing junior engineers and guiding a team of engineers through project planning, execution, and quality control stages
• Experience with object-oriented design in Python
• Experience with data pipeline and workflow management tools
• Experience with AWS cloud services: EC2, RDS, Redshift, Glue, S3
• Strong analytic skills and understanding statistical methodologies
• Experience building machine learning models
• Experience handling data from acquisition to usage in models
• Experience building and maintaining RestAPI systems, Flask apps, and state machines
• Experience with continuous integration, especially in a data science context
• Experience with Ruby on Rails