.GOBankingRates.Com is a leading destination for personal finance news and information.We are a multi-media content platform covering all aspects of your personal finance journey. Our curated editorial content, videos, and podcasts utilize expert insight to teach readers the six key principles of financial literacy: how to earn, save, invest, spend, borrow, and protect money.GOBankingRates is experiencing significant growth and is actively seeking an experienced Nearshore Senior Data Engineer with expertise in Cloud Platforms, Modern Data Architecture, and Data Engineering.What's Interesting About This Role?If you are a rising star in the field of Data Engineering, ready to challenge norms, and brimming with innovative ideas for managing technology and processes, you will broaden your experience and confront diverse technical challenges to accelerate your career growth.How Will You Make an Impact?Build sophisticated data pipelines using dbt, Airflow, and Snowflake, with special emphasis on performance optimization and data integrity using Great Expectations.Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack.Work with our data science and product management teams to design, rapidly prototype, and productize new data product ideas and capabilities.Conquer complex problems by finding new ways to solve them with simple, efficient approaches.Build processes supporting data transformation, data structure metadata, and workload management.Collaborate with the team to perform root cause analysis and audit internal and external data and processes.What Do You Bring to Us?Master's Degree (or a B.S. degree with relevant industry experience) in Computer Science.6+ years of professional Dimensional Data Warehousing/Data Modeling and 'Big Data' Experience.6+ years in a pivotal Software/Data Engineering role, with deep exposure to modern data stacks.Expertise in applying Python and SQL to execute complex data operations.Expertise in establishing data quality assurance frameworks.Experience working directly with data analytics to bridge business requirements with data engineering.Experience with AWS infrastructure.Excellent troubleshooting and problem-solving skills.Ability to operate in an agile, entrepreneurial start-up environment.Excellent communication and teamwork, and a passion for learning.Willingness to question the validity, accuracy of data and assumptions.Preferred Qualifications:Experience with Redshift, Snowflake, or other MPP databases is a plus.Knowledge of ETL/ELT tools is a plus.Experience with CI/CD using tools is a plus.The salary range for this role is $100,000 - $120,000. Pay offered may vary within the posted range based on a number of factors.Benefits100% RemoteCompetitive salary with excellent growth opportunity.Awesome medical, dental, and vision plans with heavy employer contribution.Paid maternity leave and paternity leave programs