Data Engineer I

This is a fully remote position, open to applicants in Arizona, +2 more states.

📋 Description

• Design, construct, and maintain scalable data pipelines as well as cloud-based data solutions.

• Implement data warehouse solutions, dimensional data models, and ETL/ELT processes effectively.

• Establish data quality validations, test cases, and control measures.

• Develop and uphold data testing protocols, including dbt tests.

• Provide support for workflow orchestration, monitoring, troubleshooting, log analysis, and production operations utilizing Airflow and cloud-native technologies.

• Collaborate with business users, product partners, analysts, and technology teams to achieve common goals.

• Adhere to engineering standards, development practices, documentation requirements, and testing protocols.

• Engage in pipeline deployments, environment promotion, operational support, and performance optimization through CI/CD processes.

• Utilize AI-driven development and productivity tools to enhance efficiency, code quality, and delivery results.

• Assist in the modernization of enterprise data platforms and cloud-based data solutions, supporting the bank's data and AI transformation initiatives.

⛳️ Requirements

• A Bachelor's Degree with at least 1 year of experience OR a High School Diploma or GED/Equivalent with 5 years of experience.

• Preferred fields of study include Computer Science, Information Systems, Data Science, or a related area.

• Preferred experience in data engineering, database management, or a similar field.

• Familiarity with cloud-based data platforms and big data technologies is essential.

• Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or similar technologies is preferred.

• Knowledge of Operational Data Stores (ODS), analytics platforms, and data products is desirable.

• Experience working with both cloud-based and on-premises data environments.

• Exposure to Data Vault modeling and contemporary data warehousing methodologies is a plus.

• Understanding of data governance, security, compliance, and data quality management practices is needed.

• Experience in Financial Services, Banking, or other highly regulated industries is advantageous.

• Familiarity with analytics and visualization platforms like Tableau, Power BI, or others is preferred.

• Experience utilizing AI-driven development and productivity tools is beneficial.

• Preferred certifications include AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Data Engineer – Associate, SnowPro Core Certification, or equivalent.

• Practical experience with AWS Services, Snowflake, dbt, Python, SQL, Airflow, CI/CD, data warehousing, ETL/ELT, and cloud-based data platforms is essential.

🏝️ Benefits

• Variable incentives, bonuses, benefits, and/or other awards may be included in total compensation.

• Competitive, thoughtfully designed, and high-quality benefits program.