Data Engineer

1w1 week ago

Crisis24

Annapolis, US · Full-time · $110,000 – $110,000

About this role

Crisis24 is a global, AI-enhanced provider of travel risk management, mass communications, critical event management, crisis-security consulting, personal protection solutions, and global medical concierge capabilities. Data Engineers design, develop, and maintain data pipelines for data management, product quality, and release readiness. Your skills shape global security in an uncertain world.

Assemble large, complex data sets that meet functional and non-functional business requirements. Build infrastructure for optimal extraction, transformation, and loading using SQL and big data technologies. Identify and implement process improvements like automating manual processes and optimizing data delivery.

Work with stakeholders including Executive, Product, Development, Data, and Design teams to resolve data-related technical issues. Collaborate with data and analytics experts to strive for greater functionality in data systems. Keep data separate and secure across different regions.

Develop test plans, reproduce issues, debug, and verify fixes using innovative test technologies. Create data tools for analytics and data scientist teams to build innovative products. Thrive in a fulfilling environment with purpose, accomplishment, and abundant advancement opportunities.

Requirements

Master’s Degree in Computer Science, Data Science, or Information Technology related field; OR Bachelor’s Degree in Computer Science, Data Science, or Information Technology related field with 2 years of related work experience
Demonstrated skills in Python programming language
Proficiency in SQL relational database and NoSQL database
Knowledge of data structures and data models
Experience with data visualization
Skills in automated testing

Responsibilities

Design, develop, and maintain data pipelines for data management, product quality, and release readiness
Develop and implement test plans and test cases
Reproduce, debug, isolate problems, and verify code changes and bug fixes
Create and maintain optimal data pipeline architecture
Assemble large, complex data sets that meet functional/non-functional business requirements
Build infrastructure for optimal extraction, transformation, and loading of data using SQL and big data technologies
Build analytics tools that provide actionable insights into customer acquisition, operational efficiency, and key business metrics
Work with stakeholders to assist with data-related technical issues and support data infrastructure needs