Senior Data Engineer

A US-based company that accumulates and synchronizes hundreds of millions of public employment records in order to create a universal human resources database is looking for a Senior Data Engineer. The selected candidate will be responsible for handling various data processes, pipelines, and models, as well as working on some of the most difficult and cutting-edge Data Science problems. The organization has a huge database of clients that includes investors, HR teams, Government, and corporate clients. It has managed to successfully raise $4mn+ in funding.

Job Responsibilities:

• Take ownership of creating efficient and effective algorithms
• Be responsible for implementing algorithms in data lakes, pipelines, and other implementations
• Drive the software engineering process with continuous improvement
• Provide peer review and pair programming
• Carefully handle multiple tasks from scalable ingestion APIs, data modeling/transfer to microservices and event-based architectures

Job Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
• At least 2-5+ years of relevant work experience in a data engineering or data science capacity
• Must have knowledge of Cloud Computing, Distributed Computing, and Parallelization
• Familiarity with SQL, Python, and Bash is a must
• Knowledge of NLP is required
• Should be familiar with representation learning
• Data visualization familiarity is nice to have
• Fluent in verbal and written English communication
• Excellent collaboration and problem-solving skills