Join OneAZ Credit Union as a Data Engineer - Associate in Phoenix, Arizona, where you'll design and maintain scalable data pipelines to support analytical and reporting needs. This role requires strong experience with Snowflake and proficiency in SQL, along with collaboration with cross-functional teams.
Job Summary: OneAZ Credit Union is dedicated to creating lasting change in the lives of their members and communities. The Data Engineer will support the organization’s analytical and reporting needs by designing, implementing, and maintaining scalable data pipelines, while ensuring high-quality data for reporting and analysis. Responsibilities: • Develop and maintain scalable ELT pipelines using Snowflake and related tools. Automate data extraction, loading, and transformation to support analytics, reporting, and downstream processes. • Implement data transformation logic to ensure accurate, high-quality data for analytics. Ensure consistency with business objectives. • Contribute to the development and maintenance of the data model and architecture, ensuring alignment with business needs. • Support and maintain data platforms (e.g., Snowflake, Informatica). Troubleshoot and optimize these systems as needed. • Monitor, optimize, and troubleshoot data pipelines, queries, and systems for efficient processing and minimal latency. • Automate processes and improve data workflows. Continuously assess and adopt new tools and technologies to enhance data maturity and operational efficiency. • Collaborate with the Data Governance team to ensure consistent application of data policies and business rules across systems. • Follow best practices for data handling, especially sensitive data, and ensure adherence to organizational compliance and security policies. • Work with business teams to translate their needs into technical solutions. Collaborate with Data Scientists, Analysts, and other stakeholders to align technical work with business goals. Qualifications: Required: • H.S. Diploma Required • Bachelor's Degree Computer Science, Technology, Engineering, Mathematics, or a related field required • 5-8 years similar or related experience in data engineering or an equivalent combination of experience and education required • Strong experience with Snowflake, including data loading, transformation, and data modeling • Proficiency in SQL, including writing optimized queries and stored procedures • Experience with cloud platforms (Azure, AWS, GCP) • Hands-on experience with data integration and transformation tools (e.g., dbt, Apache Airflow) • Experience in Python for pipeline development and API integrations • Familiarity with database optimization, and data governance practices • Strong collaboration and communication skills • Ability to translate business needs into technical solutions and work effectively with cross-functional teams • Strong analytical and problem-solving abilities • A passion for people, innovation, and growth Preferred: • Master's Degree Computer Science, Technology, Engineering, Mathematics, or a related field • Previous financial services industry experience. Experience in data science, technology management or Fintech domain • Knowledge of version control systems (e.g., Git) and CI/CD pipelines • Business acumen and project management skills • Experience with the CDMC framework • Azure: Azure Data Engineer Certification • Snowflake: SnowPro Advanced Certification for Data Engineers Company: OneAZ Credit Union offers financial services & competitive rates with a community focus in Phoenix, Flagstaff, Prescott, Tucson and beyond. Founded in 1951, the company is headquartered in Phoenix, Arizona, USA, with a team of 501-1000 employees. The company is currently Late Stage. OneAZ Credit Union has a track record of offering H1B sponsorships.
Join OneAZ Credit Union as a Data Engineer - Associate in Phoenix, Arizona, where you'll design and maintain scalable data pipelines to support analytical and reporting needs. This role requires strong experience with Snowflake and proficiency in SQL, along with collaboration with cross-functional teams.