Senior Data Engineer

🕒 February 5

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Orijin™

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

📚 Education

🌍 Social Impact

Education • Social Impact

Orijin is an innovative company recognized for its transformative educational solutions, particularly for justice-impacted individuals preparing for successful reentry into society. The company offers a platform that equips these individuals with essential skills for social integration and long-term career sustainability, which significantly helps in reducing recidivism rates. By partnering with correctional facilities and providing outcome-focused educational resources and management tools, Orijin transforms traditional correctional facilities into educational hubs. Their programs are designed to meet industry needs, thus enhancing workforce readiness and lowering recruitment costs for employers.

📋 Description

• As a Senior Data Engineer at Orijin, you will be a technical leader responsible for building, scaling, and modernizing the company’s data platform. • Your primary focus will be on data modeling, pipelines, architecture, reliability, and performance, ensuring that data is trusted, timely, and production-ready. • As a member of the Enterprise Services team, you will partner closely with data analysts, engineers and product managers to shape how data is modeled and used. • You will bring an analytical mindset to pipeline design and enable high-quality insights across the organization. • You will ensure company-wide confidence in data quality and enable data-enabled differentiating products and services. • Design and evolve Orijin’s data architecture to support scalability, reliability, and near–real-time use cases. • Define standards for data modeling, orchestration, versioning, and deployment. • Own the design, build, and maintenance of production-grade data pipelines across batch and streaming workloads. • Architect and maintain data systems using tools such as AWS (S3, RDS, Redshift, Lambda, DMS, Glue etc.).

🎯 Requirements

• Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or equivalent work experience. • Expertise in the areas of data engineering, platform engineering, or backend engineering roles. • Proven experience designing and operating large-scale data pipelines and data platforms in production environments. • Strong proficiency in Python and SQL for data engineering workflows. • Hands-on experience with AWS data tools like Redshift, Lambda and Glue or equivalents; experience with data orchestration and ETL tools like Airflow, Airbyte and dbt in production environments. • Experience implementing monitoring, alerting, and data quality frameworks. • Familiarity with streaming or near–real-time systems (e.g., Kafka, Kinesis, or similar) is a plus. • Hands-on experience with PostgreSQL databases and NoSQL style databases like MongoDB, DynamoDB, etc. • Experience supporting machine learning or AI workflows (e.g., feature engineering, embedding pipelines, model inputs/outputs, embeddings, vector databases). • Strong collaboration and communication skills - able to translate business and analytical needs into robust technical systems. • Experience with data governance, security, and compliance in regulated or sensitive-data environments.

🏖️ Benefits

• Orijin offers competitive compensation commensurate and a generous 100% employer-paid benefits package for you and your dependents. • Occasional Travel as needed and the ability to work EST.