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Data Engineer

Hybrid in San Francisco, CA, US • Posted 60+ days ago • Updated 8 days ago

Contract W2

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Analytics
Cloud Computing
Cloud Storage
Continuous Delivery
Data Processing
Data Flow
Data Quality
Data Security
Data Warehouse
Google Cloud
Google Cloud Platform
PySpark
Python
Reporting
SQL
Azure
Databricks
Workflow
Big Data
ELT
Dimensional Modeling
Data Engineering
Debugging
Extract
Transform
Load
Performance Tuning
Continuous Integration

Summary

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.

< data-start=620 data-end=640>Required Skills

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.

< data-start=1548 data-end=1569>Responsibilities

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).

Please share your updated resume at

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10110984
Position Id: 8902625
Posted 30+ days ago

Contact the job poster

Bob McLauchlan

Recruiter @ DPP Tech, Inc.

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