Integration Engineer at Time Doctor

About the Role

• This is a unique opportunity to develop your career as an integrations engineer during an exciting period of hypergrowth.
• You’ll work closely with internal revenue-generating teams to design and deliver solutions that will enable Time Doctor to scale and remain the market leader.
• All of this will be achieved through your ability to both deliver and collaborate with a team of talented engineers and product managers.
• You’ll have the opportunity to work with a modern tech stack on a product that has traction with significant growth opportunities.
• This is a full-time position, reporting to the Senior Integrations Engineer.

Responsibilities

• Design elegant and well-tested code that’s easy to maintain and ensures high performance at scale.
• Ensure accuracy and integrity of data and applications through analysis, coding, clear documentation, and problem resolution.
• Understand and follow Data Governance and ensure attention to data quality.
• Continually learn and research engineering trends to ensure that we are always using the most appropriate technology available.
• Responsible for testing future related specifications and conducting data analysis.

Required Skills and Experience

• Interested candidates should possess relevant qualifications
• At least 2 years of professional back-end experience, ideally working on Node.js applications at scale.
• Hands-on experience with Distributed Architecture, building RESTful services, XML/JSON, and modern Application Servers.
• Knowledge of API design, including versioning, isolation, and micro-services.
• Experience with designing and implementing ETL processes and the use of ETL tools.
• Strong MongoDB experience, ideally with some sharding experience.
• Experience with customer data platforms (Segment, List track, Salesforce, HubSpot) is desirable.
• Knowledge of relational and NoSQL database management systems.
• Experience with test-driven development and continuous delivery, ideally in a product-focused SaaS environment.
• Experience working with AWS (S3, SQS, Redshift, Lambda), Google BigQuery, Firebase, Redis, and Heroku.
• Creative thinker with a natural interest in finding solutions to new problems.