Data Engineer - San Diego, United States - TotalMed Staffing

Description

Data Engineer

Pay: $40.00-$60.00/hour

Shift: M-F / 8am-5pm

Location: San Diego, CA

Experience Requirements- Data Engineer

• BS in Data Engineering, Data Science, Computer science, or related field. MS preferred.
• Minimum 4-8 years of experience performing dedicated data engineering work in a regulated industry (e.g. Medical Devices, Automotive, Aerospace, Pharma).
• 3+ years of programming experience. 1+ years experience ElasticSearch, 3+ years experience SQL programming / Visualization / data analytics Skills and Knowledge
• Good coding experience in Java and Python
• Strong experience in data analytics
• Fluent in common data science tools in Python/R (preferred).
• Knowledge of database principles, such as relational and non-relational databases, data architecture. Experience in SQL, MongoDB preferred.
• Experience with cloud computing platforms such as Microsoft Azure, AWS and GCP.
• Experience with architecting ETL applications.
• Experience working with ELK stack (ElasticSearch, Logstash, and Kibana) preferred
• Experience creating dashboards
• Demonstrates ability to collaborate effectively and work in a matrix organization.
• Service orientation towards internal customers
• High degree of self-motivation and commitment
• Strong communication skills, written and verbal

Job Description: Data Engineer

• Supports development, optimization, automation, and management of data pipelines.
• Use proven techniques to automate common data collection, preparation, integration, processing, and distribution tasks.
• Train the Biostats team in data pipeline and preparation techniques to streamline daily use of the data.
• Assist in producing datasets and simple analytic tools to be used by technical or non-technical end users.
• Collaborate with Information Systems team to best support the data science and analytics needs of the Biostats team.

ESSENTIAL FUNCTIONS: Data Engineer

• Build, optimize, automate, and manage data pipelines.
• Be responsible for analytical and clinical study data collection from various data streams
• Work with Biostats team to develop tooling, processing pipelines, and monitoring dashboards
• Executes all tasks in accordance with company Quality System and carries out duties in compliance with established business policies.