Senior Data Engineer - GCP

Cloud Hybrid Technologies LLC; Mountain View (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Cloud Hybrid Technologies LLC is hiring a data engineer to develop and enhance Python frameworks for data processing and ML operations. You will design scalable data pipelines on Google Cloud Platform, implement robust monitoring, and contribute to data tooling standards across the team.

The role emphasizes collaboration with data scientists and engineers to optimize data models, warehousing concepts, and ML feature stores using BigQuery, Dataflow, and Vertex.

Qualifications

• Proficiency in Python for building data processing frameworks and libraries.
• Experience with data pipelines, governance, quality, and lineage.
• Strong knowledge of data warehousing concepts and ETL/ELT patterns.

Responsibilities

• Develop and enhance Python frameworks and libraries for data processing and ML operations.
• Design, build, and maintain scalable data pipelines on GCP.
• Implement monitoring, logging, and alerting for data infrastructure reliability.
• Build batch pipelines using BigQuery, Dataflow, and Airflow/Composer on GCP.
• Design data models for storage and ML modeling using Bigtable and Vertex Feature Store.
• Contribute to shared data tooling and standards to improve team productivity.

Skills

Python

Data processing

GCP

BigQuery

Data modeling

ETL/ELT

Airflow

CI/CD

Communication

Problem solving

Education

Bachelor’s or Master’s degree in CS/Engineering/Data Science or related field

Tools

Git/GitHub

TensorFlow

Apache Spark

scikit-learn

Jupyter Notebook

Pandas/NumPy

Cloud platforms (GCP)

BigQuery/Cloud Dataflow

Job description

• Develop and enhance Python frameworks and libraries to support data processing, quality, lineage, governance, analysis, and machine learning operations.
• Design, build, and maintain scalable and efficient data pipelines on GCP.
• Implement robust monitoring, logging, and alerting systems to ensure the reliability and stability of data infrastructure.
• Build scalable batch pipelines leveraging Big query, Dataflow and Airflow/Composer scheduler/executor framework on Google Cloud Platform
• Design our data models for optimal storage and retrieval and to meet machine learning modeling using technologies like Bigtable and Vertex Feature Store
• Contribute to shared Data Engineering tooling & standards to improve the productivity and quality of output for Data Engineers across the company

Minimum Basic Requirements

• Python Expertise: Write and maintain Python frameworks and libraries to support data processing and integration tasks.
• Code Management: Use Git and GitHub for source control, code reviews, and version management.
• GCP Proficiency: Extensive experience working with GCP services (e.g., BigQuery, Cloud Dataflow, Pub/Sub, Cloud Storage).
• Python Mastery: Proficient in Python with experience in writing, maintaining, and optimizing data processing frameworks and libraries.
• Software Engineering: Strong understanding of software engineering best practices, including version control (Git), collaborative development (GitHub), code reviews, and CI/CD.
• Data Management: Deep knowledge of data modeling, ETL/ELT, and data warehousing concepts.
• Problem-Solving: Excellent problem-solving skills with the ability to tackle complex data engineering challenges.
• Communication: Strong communication skills, including the ability to explain complex technical details to non-technical stakeholders.
• Data Science Stack: Proficiency in data analysis and familiarity with tools such as Jupyter Notebook, pandas, NumPy, and other Python data analysis libraries.
• Frameworks/Tools: Familiarity with machine learning and data processing tools and frameworks such as TensorFlow, Apache Spark, and scikit-learn.
• Bachelor’s or master’s degree in computer science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field or software development training program

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract