Software Engineer, Data Ingestion

We are seeking an experienced Software Engineer to join our Data team.  A successful Data Engineer is someone who loves working on systems that move, process, store, and publish data. You are a pragmatic designer who believes that great software design should lead to a great customer experience. You enjoy the challenge of a good puzzle and are comfortable admitting you do not know everything. You are always looking for learning/teaching opportunities and believe in sponsoring less senior team members to promote their growth. In technical and non-technical aspects of the job you model behaviors that strive to include everyone on the team, no matter their level or background. We don’t need you to have experience with everything yet, but individuals that want to keep learning and challenge themselves thrive in this environment.

Responsibilities

• Lead the development and delivery of critical components
• Coordinate across teams like Product, QA and Devops
• Own solutions and software designs to meet product goals
• Develop high-quality, maintainable, testable software
• Promote software engineering best practices across the team
• Participate in code reviews
• Mentor and grow junior engineers
• Review architecture and software designs with other senior engineers
• Identify, design and develop automation and tooling to improve team efficiency
• Dive deep to resolve problems at their root, looking for failure patterns and suggesting fixes
• Support your products running in production
• Participate in projects that improve the performance and usability of our product portfolio
• Work in an agile team, including sprint planning, daily standups and user story estimation
• Be an ambassador for the team to both our internal and external clients

Qualifications

• A Bachelor's degree and 5+ years of professional software development experience
• Experience with mentoring or managing junior engineers
• Significant experience with Python
• Has led the development and release of multiple product initiatives
• Is passionate about creating high-quality, performant systems
• Understands and promotes software architecture design best practices
• Experience driving and optimizing the end-to-end software development process
• Working knowledge of with data pipeline technologies
• Proficient with multiple data storage technologies covering relational databases, data warehouses, and NoSQL
• Experience evaluating technologies in order to make the case for buy/build/use AWS
• Familiar with building web applications
• Experience developing in Unix systems
• Familiarity with Amazon Web Services
• Proven capability for critical thinking, problem solving and the patience to see hard problems through to the end with our clients
• Outstanding oral and written communication skills with both technical and non-technical audiences
• Willingness to partner with a wide variety of people from diverse backgrounds, including engineering, product and professional services team members

About Narrative Science:
Narrative Science is the leader in advanced natural language generation (Advanced NLG) for the enterprise. Quill, its Advanced NLG platform, learns and writes like a person, automatically transforming data into Intelligent Narratives—insightful, conversational communications full of audience-relevant information that provide complete transparency into how analytic decisions are made.