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# Data Engineer

- **Company:** After School Matters, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $93,600.0 - $114,400.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, BigQuery, Cloud Database, Software Documentation, Code Review, Computer Programming, Continuous Integration, Data Validation, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, Relational Databases, Database Queries, Software Debugging, Python (Programming Language), Operational Databases, Performance Tuning, Query Optimization, Cloud Services, Workflow Management Systems, Snowflake, Infrastructure Automation Frameworks, Information Technology, Software Version Control, Data Pipelines
- **Published:** October 8, 2026
- **Apply:** https://focuskpi.applytojob.com/apply/FwtCZHBZHk/Data-Engineer?source=GS

## About the Role

* Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
 * 4-5 years of industry experience in software or data engineering, including experience building or supporting production data systems.
 * Strong programming skills in Python, Java, or another general-purpose language, plus strong SQL skills.
 * Experience building or maintaining ETL/ELT pipelines and working with technologies such as dbt, Fivetran, or similar tools.
 * Hands-on experience building production pipelines for file ingestion into a data warehouse.
 * Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift and orchestration tools such as Airflow or Cloud Composer/ Good experience with Airflow.
 * Understanding of data modeling, data quality, relational data, and query and performance optimization.
 * Strong software engineering fundamentals, including version control, testing, code reviews, and CI/CD.
 * Ability to troubleshoot production systems methodically and communicate effectively with technical and business partners.
 * Experience in Financial Services or FinTech preferred

**No C2C resumes are considered**

## Description

* Build, maintain, and improve reliable data pipelines that ingest, transform, and deliver data across the client's data platform.
 * Own data engineering projects and pipelines through implementation, testing, deployment, monitoring, troubleshooting, and ongoing support.
 * Work with Snowflake, dbt, Airflow/Cloud Composer, APIs, files, and cloud services to support production workloads and optimize them for reliability, performance, scalability, and cost.
 * Support warehouse development through thoughtful schema design, data modeling, testing, documentation, data quality practices, and query optimization.
 * Improve ingestion, orchestration, validation, retries, backfills, monitoring, and alerting while helping reduce recurring operational work.
 * Use AI-assisted engineering tools thoughtfully to accelerate development, debugging, documentation, and analysis while maintaining strong standards for accuracy, security, review, and engineering judgment.
 * Own end-to-end data lifecycle management - From ingestion and transformation to modeling, orchestration, and serving layers.
 * Ensure data quality, governance, and reliability - Implement testing frameworks, observability, monitoring, lineage, and data validation practices.
 * Drive platform optimization and cost efficiency - Continuously improve performance, scalability, and cloud cost management across the data ecosystem.
 * Establish engineering best practices - CI/CD, Infrastructure as Code, code reviews, documentation standards, and secure data handling.
 * Partner cross-functionally with technical and business stakeholders to translate data needs into reliable, production-grade solutions