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# Data Engineer

- **Company:** DPP Tech, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Adaptable Database Systems, Airflow, Data Analysis, BigQuery, Cloud Storage, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Database Queries, Software Debugging, Dimensional Modeling, Data Flow Control, Operational Databases, Performance Tuning, Scrum Methodology, Cloud Services, SQL Databases, Data Processing, Google Cloud, Sql Optimization, Data Build Tool (dbt), Git, Data Management, Data Pipelines
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/72aaaa9c-5068-4bfb-acf1-be26a39b4249

## About the Role

* 5+ years (Developer) / 6-10 years (Lead) of Data Engineering experience.
 * Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).
 * Expertise in BigQuery for data warehousing and analytics.
 * Experience developing and maintaining workflows using Apache Airflow.
 * Advanced SQL skills for complex queries and performance optimization.
 * Hands-on experience with DBT (Data Build Tool) for data transformation.
 * Experience building scalable ETL/ELT pipelines.
 * Knowledge of data modeling, data warehousing, and dimensional modeling.
 * Experience with Git and CI/CD practices.
 * Strong debugging, optimization, and performance tuning skills.

< data-start=1310 data-end=1331>Preferred Skills

 * Python for data engineering and automation.
 * Experience with Cloud Composer, Cloud Storage, Pub/Sub, or Dataflow.
 * Familiarity with Agile/Scrum methodologies.
 * Excellent communication and collaboration skills.

## Description

We are seeking experienced Data Engineers with strong expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable data pipelines and modern cloud-based data platforms. The ideal candidate should have hands-on experience with BigQuery, Apache Airflow, SQL, DBT (Data Build Tool), and Google Cloud Platform services., * Design, develop, and optimize cloud-native data pipelines on Google Cloud Platform.

 * Build and maintain ELT workflows using DBT and Airflow.
 * Develop scalable data models in BigQuery.
 * Optimize SQL queries and improve data processing performance.
 * Collaborate with analytics, BI, and application teams to deliver high-quality data solutions.
 * Monitor, troubleshoot, and enhance production data pipelines.
 * Mentor junior engineers (Lead role).


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