Data Engineer I – Data Platform

Posted 16 hours ago

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

πŸ“‹ Description

β€’ Design, develop, and maintain scalable data pipelines and cloud-based data solutions.

β€’ Execute data warehouse implementations, dimensional data models, and ETL/ELT processes that support reporting, analytics, and business intelligence.

β€’ Establish data quality validations, test cases, and control mechanisms.

β€’ Create and sustain data tests, including dbt tests.

β€’ Assist in workflow orchestration, monitoring, troubleshooting, log analysis, and production operations utilizing Airflow and cloud-native technologies.

β€’ Work in collaboration with business users, product partners, analysts, and technology teams.

β€’ Adhere to engineering standards, development methodologies, documentation requirements, and testing protocols.

β€’ Engage in pipeline deployments, environment promotions, operational support, and performance optimization through CI/CD processes.

β€’ Utilize AI-driven development and productivity tools to enhance engineering efficiency, code quality, and delivery results.


⛳️ Requirements

β€’ Bachelor's Degree with 1 year of experience OR a High School Diploma or GED/Equivalent with 5 years of experience.

β€’ Preferred areas of study include Computer Science, Information Systems, Data Science, or a related field.

β€’ Preferred areas of experience encompass data engineering, database management, or a related field.

β€’ Familiarity with cloud-based data platforms and big data technologies.

β€’ Proficiency with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or similar technologies.

β€’ Experience with Operational Data Stores (ODS), analytics platforms, and data products.

β€’ Background in working with cloud-based and on-premises data environments.

β€’ Exposure to Data Vault modeling and contemporary data warehousing methodologies.

β€’ Knowledge of data governance, security, compliance, and data quality management best practices.

β€’ Experience in Financial Services, Banking, or other highly regulated sectors.

β€’ Familiarity with Tableau, Power BI, or other analytics and visualization tools.

β€’ Experience with AI-driven development and productivity solutions.

β€’ Possession of AWS Certified Cloud Practitioner, AWS Certified Developer – Associate, AWS Certified Data Engineer – Associate, SnowPro Core Certification, or equivalent certifications in cloud and data platforms.


🏝️ Benefits

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

β€’ Competitive, thoughtfully designed, and high-quality benefits program.

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