Data Engineer

The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of data acquisition services. The ideal candidate will demonstrate experience with software development lifecycles, working with cloud architecture, and development within a software team.

Responsibilities:

1. Data mining, web scraping, cleaning, and organizing data into both SQL and NoSQL databases.
2. Building efficient APIs to communicate the data.
3. Managing continual data ingestion.

Required Job Qualifications:

1. At least 4 years experience with Python development and database management in a Linux environment.
2. Expertise in relational database architecture and efficient SQL. Experience with managing databases in Azure is a plus as well as Neo4j graph databases.
3. Development of RESTful APIs.
4. Distributed computing (Spark or similar).
5. Ability to provide guidance on data security issues.
6. Writing and maintaining clear and reproducible documentation for all services and projects.
7. Strong general communication and interpersonal skills.
8. Capable of providing guidance to junior developers.

Preferred Job Qualifications:

1. Experience in machine learning and general data science.
2. Data visualization.
3. Understanding of the healthcare industry.
4. Azure, Google, AWS or other cloud-platform experience.
5. SDLC Tools & Processes: JIRA, Docker, Git-flow, Puppet, or similar.

Education Requirements:

1. B.Sc. in Computer Science, Engineering, or related field.