Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.
Job DescriptionWe are looking for a Senior GCP Data Engineer with 6+ years of experience in designing, developing, and maintaining scalable data engineering solutions on Google Cloud Platform (GCP). The ideal candidate should have strong hands-on expertise in Python, SQL, data pipelines, and GCP data services.
Key Responsibilities
- Design and develop scalable and reliable data pipelines using GCP services.
- Develop data processing and transformation solutions using Python and SQL.
- Build and optimize ETL/ELT pipelines for large-volume datasets.
- Work with business and technical teams to understand data requirements and deliver robust solutions.
- Perform data modeling, data validation, and performance optimization.
- Monitor and troubleshoot data pipelines and resolve production issues.
- Implement data quality, security, and governance best practices.
- Participate in code reviews and contribute to technical design and architecture discussions.
- 6+ years of experience in Data Engineering.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Strong programming experience in Python.
- Strong expertise in SQL, including complex queries, joins, CTEs, window functions, and query optimization.
- Experience developing ETL/ELT data pipelines.
- Hands-on experience with one or more GCP services such as:
- BigQuery
- Cloud Storage (GCS)
- Cloud Composer / Airflow
- Dataflow
- Pub/Sub
- Dataproc
- Experience with Apache Spark / PySpark is preferred.
- Good understanding of data warehousing, data modeling, and distributed data processing.
- Experience with Git and CI/CD practices.
Nice to Have
- Experience with Terraform or Infrastructure as Code.
- Exposure to GCP Dataform.
- Experience with real-time/streaming data pipelines.
- Knowledge of cloud security and IAM.
- Experience working in Agile environments.
All your information will be kept confidential according to EEO guidelines.
Skills Required
- 6+ years of experience in data engineering
- Hands-on experience with Google Cloud Platform
- Strong programming experience in Python
- Strong SQL expertise, including complex queries, joins, CTEs, window functions, and query optimization
- Experience developing ETL/ELT data pipelines
- Hands-on experience with one or more GCP services, including BigQuery, Cloud Storage, Cloud Composer/Airflow, Dataflow, Pub/Sub, or Dataproc
- Understanding of data warehousing, data modeling, and distributed data processing
- Experience with Git and CI/CD practices
- Experience with Apache Spark or PySpark
- Experience with Terraform or infrastructure as code
- Exposure to GCP Dataform
- Experience with real-time or streaming data pipelines
- Knowledge of cloud security and IAM
- Experience working in Agile environments
Blend360 Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.
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Fair & Transparent Compensation — Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
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Flexible Benefits — Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
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Retirement Support — A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.
Blend360 Insights
What We Do
Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.
