Data Engineer I

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inroads

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2014

🤲 Charity

🤝 Non-profit

🌍 Social Impact

Charity • Non-profit • Social Impact

inroads is the International Network for the Reduction of Abortion Discrimination and Stigma. inroads builds cross-movement collective power, provides flexible resources, and strengthens movements across the global abortion justice ecosystem to build a world where everyone is free and able to access stigma-free abortion care. They operate a participatory, community-centric grantmaking model to provide flexible funding to local, regional, and global stigma-busting organizations; facilitate solidarity, mutual learning, healing, and collective power building; amplify voices and leadership in the abortion justice movement; and lead narrative and power-shifting efforts to secure more resources and challenge hierarchical power. inroads hosts conferences, convenes global conversations, creates resources and tools, and functions as a membership network for activists and community groups. It is a registered 501(c)(3) nonprofit.

📋 Description

• Build, test, and document dbt models (staging, intermediate, marts) aligned to Kimball dimensional modeling best practices. • Implement data quality checks (dbt tests, sources, freshness) and contribute to monitoring data reliability. • Collaborate with analytics, product, and domain stakeholders to translate business needs into well-modeled datasets. • Proactively audit, define, and standardize key business metrics in collaboration with stakeholders to ensure consistency and trust across reporting platforms. • Support source onboarding and ingestion from APIs, files, or databases into the warehouse. • Maintain clear documentation for datasets, lineage, and transformation logic. • Assist with CI/CD for analytics code (Git workflows, PR reviews, environments). • Optimize model performance (incremental strategies, partitions/clustering, query tuning). • Troubleshoot pipeline/data issues and contribute to root-cause analyses. • Proactively identify improvement opportunities and drive them to completion with high ownership.

🎯 Requirements

• 2 years of experience in data engineering, analytics engineering, or related field (internships, coursework, and projects encouraged) OR an undergraduate degree or higher in a related field • Proficiency in SQL; able to write clean, performant queries. • Practical experience with dbt (models, tests, documentation, sources; familiarity with Jinja/macros is a plus). • Solid grasp of Kimball dimensional modeling (star/snowflake schemas, facts and dimensions, SCDs). • Demonstrated ability to translate complex business logic into efficient, technical data structures. • Understanding of data warehousing and ELT/ETL patterns. • Familiarity with Git and collaborative development workflows. • Strong problem-solving and communication skills; attention to detail. • Demonstrated willingness to learn quickly and take ownership of outcomes.

🏖️ Benefits

• Premier health insurance plan • 401K matching • Unlimited vacation leave • Paid sick, personal, and volunteer leave • 13 paid holidays • 15 weeks paid parental leave • Professional development stipend & tuition reimbursement • Employee Assistance Program (EAP) • Supportive & collaborative culture • Flexible working hours • Remote friendly (within the U.S.) • And more!