Overview:
Our client is seeking resources that will be supporting an engineering team tasked with building a research data platform which will ingest and make discoverable research generated data.

Key Responsibilities:

Data Engineering Skills & Experience:
Create, verify, and maintain data replication scripts
Create, verify, and maintain data validation, processing, and ingestion pipelines
Deploy and automate the execution of data replication scripts and data pipelines in cloud infrastructure
Create and maintain data catalogs that describe datasets and their contents (i.e. files, file types, tables/views, columns, fields, etc.)
Create, verify, and maintain dashboards and reports that characterize ingested datasets
Create, verify, and maintain data validation scripts/APIs that verify the production dataset contains the correct number of samples/records, expects values/fields/columns are populated, and values are of the correct data type, format, and range.
Deploy and automate the execution of data validation scripts/APIs
Create and maintain user documentation (dataset descriptions, tutorials, code examples, etc.)
Define entitlements, user groups, roles, and permissions utilized to grant access to datasets Programming Languages:

Position Requirements:

Strong GCP
Linux system administration and scripting
Pro Desk API
Required qualifications for this position include: Bachelor's Degree in Computer Science/Engineering or related field with 5 years of experience as noted below; OR an Associate's degree in Computer/Science/Engineering or related field with 7 years of experience.
Have in-depth knowledge of software engineering with experience coding applications or services in a high-level language (C, C++, Golang, Java, C# etc.) and a basic knowledge of related fields.
Demonstrated problem solving and time management skills.
Possesses strong technical aptitude for designing and implementing software solutions. Experience with modern application development frameworks
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Deep hands-on technical expertise, excellent verbal and written communication skills.
Experience with Agile software development techniques.

Additional Information:

Fully Remote
W2 Candidates Only

Da Vinci Software

Open Positions (1)

Engineering

GCP/Linux Data Engineer (Remote)