Senior Data Engineer - GCP

Ethereum Technologies LLC; Mountain View (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Ethereum Technologies LLC is seeking a data engineer to develop Python data processing frameworks and scalable GCP pipelines. You will design data models for ML readiness using BigQuery, Dataflow, Vertex AI features, and Bigtable.

You will implement robust monitoring, logging, and CI/CD practices, collaborate with teams to raise data quality, and contribute to shared tooling across the organization.

Qualifications

• Experience building data processing pipelines and frameworks.
• Proficient in Python and data engineering best practices.
• Strong knowledge of GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage).
• Ability to design scalable data models and warehousing concepts.
• Experience with CI/CD, code reviews, and Git workflows.
• Familiarity with ML workflows and feature stores a plus.
• Excellent communication with technical and non-technical stakeholders.
• Bachelor’s or higher in CS/Engineering/Math/Physics or related field.

Responsibilities

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

Skills

Python

Git & GitHub

GCP

Software Engineering

Data Modeling

ETL/ELT

Data Analysis

Communication

TensorFlow

Apache Spark

Education

Bachelor’s or Master’s degree in CS/Engineering/Math/Physics or related field

Tools

BigQuery

Dataflow

Airflow/Composer

Vertex AI/Feature Store

Bigtable

Jupyter/Pandas/NumPy

Python libraries for data processing

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

ETHEREUM TECHNOLOGIES LLC 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. ETHEREUM TECHNOLOGIES LLC 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 ETHEREUM TECHNOLOGIES LLC 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