Remote Junior Data Engineer — Build Pipelines & Insights

Rize Credit Union

California

Remote

USD 55,000 - 73,000

Full time

2 days ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Rize Credit Union's Technology & Innovation team is seeking a Junior Data Engineer to build scalable data pipelines, refine data quality, and deliver actionable reports enabling informed decisions across the organization.

You'll collaborate with business partners, implement ETL processes, and develop dashboards using Power BI, SSRS, and Amazon QuickSight, while growing your data engineering skills in a supportive, remote-friendly environment.

Qualifications

Bachelor's degree in Computer Science, Data Analytics, Statistics, Business, or a related field.
1–3 years of experience in data engineering, ETL development, or database engineering.
Strong SQL skills, including query optimization, stored procedures, and performance tuning.
Experience developing and maintaining ETL pipelines and working with data warehouses.
Proficiency with business intelligence and visualization tools such as Power BI, SSRS, or Amazon QuickSight.
Familiarity with data lakes, cloud-based data platforms (AWS, Azure, or Google Cloud), and data governance practices.
Experience in financial services is strongly preferred.
Familiarity with Python or R is a plus!

Responsibilities

Build & Optimize Data Pipelines: Assist in designing, developing, and maintaining ETL processes that transform data from multiple sources into reliable, accessible information.
Develop Data Solutions: Write and optimize SQL queries, support data modeling, and help maintain efficient data infrastructure and data warehouses.
Ensure Data Quality: Monitor data accuracy, troubleshoot pipeline issues, and help maintain the integrity and reliability of information used throughout the organization.
Create Meaningful Insights: Develop and maintain reports, dashboards, and visualizations using tools such as Power BI, SSRS, or Amazon QuickSight to help teams understand and act on data.
Drive Innovation & Efficiency: Identify opportunities to automate workflows, improve processes, and enhance how we collect, manage, and use data.
Collaborate Across Teams: Partner with stakeholders to understand business needs, translate requirements into practical data solutions, and support data-driven decision-making.
Share Knowledge: Document solutions, support end users, and help team members make the most of our reporting and analytics tools.