Data Engineer

Galileo Financial Technologies•Sandy, UT

4h•$150,000 - $165,000•Remote

About The Position

Welcoming, collaborative and having the opportunity to make an impact - is how our employees describe working here. Galileo is a financial technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at https://www.galileo-ft.com/working-at-galileo. Galileo Financial Technologies, LLC seeks Data Engineer in Sandy, UT: Job Duties: Contribute to the design, orchestration, and development of ongoing data science projects from data ingestion to presentation. Work with platform engineers and others to develop tools/frameworks needed to carry out projects. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Synthesize insights from raw data. Build dashboards and other visualizations; communicate findings internally and externally. Research new data engineering and analytics methodologies with minimal guidance and support from other team members. Build ad hoc pipelines and infrastructure in the cloud to unblock analytical projects as needed. Write, test, and deploy efficient, scalable code to production that impacts millions of individuals, Generate ideas for new initiatives and technologies, Communicate with project leads, product managers and other software developers. Full-time telecommuting is an option.

Requirements

Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or in any occupation in related field.
(1) Data warehouse design and dimensional modeling
(2) Extract, Transform, Load (ETL)
(3) SQL
(4) Python
(5) Airflow
(6) DBT
(7) Data Visualization (Tableau and Power BI)
(8) AWS cloud
(9) Snowflake
(10) Shell scripting
(11) Splunk
(12) Spark
(13) Hive
(14) Data Architecture
Any suitable combination of education, training and/or experience is acceptable.

Responsibilities

Contribute to the design, orchestration, and development of ongoing data science projects from data ingestion to presentation.
Work with platform engineers and others to develop tools/frameworks needed to carry out projects.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Synthesize insights from raw data.
Build dashboards and other visualizations; communicate findings internally and externally.
Research new data engineering and analytics methodologies with minimal guidance and support from other team members.
Build ad hoc pipelines and infrastructure in the cloud to unblock analytical projects as needed.
Write, test, and deploy efficient, scalable code to production that impacts millions of individuals
Generate ideas for new initiatives and technologies
Communicate with project leads, product managers and other software developers.