Data Engineer II: Build Scalable Data Pipelines & ML

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

Benefits offered by this job

Health benefits

Dental plan

Vision plan

Retirement plan with 401(k) match

Paid sick leave

Online training via Gymnasium

Job summary

Aquent is hiring a Data Engineer to design, build, and scale data infrastructure powering analytics and product development. You will independently drive end-to-end tasks on large-scale projects, translating complex business requirements into robust data solutions.

You will collaborate with data users, engineers, and data scientists to create pipelines, governance, and secure, scalable systems that enable data-driven decisions across the organization.

Qualifications

• Proficiency in code comprehension and programming skills.
• Strong information gathering skills.
• Experience with big data infrastructure.
• Knowledge of Machine Learning concepts.
• Proven stakeholder management abilities.
• Experience in project management.
• Expertise in data exploration.
• Ability to design data pipelines (ETL) and perform data modeling.
• Understanding of Statistics and proficiency with Business Intelligence tools.

Responsibilities

• Provide essential support to data users by maintaining reports, queries, and dashboards, and executing plans for critical dependency changes, such as system migrations.
• Design and implement innovative business solutions and infrastructure to build and scale common frameworks, establishing new data pipelines in partnership with upstream providers.
• Champion and improve technical best practices, focusing on data discoverability, lifecycle management, and master data governance.
• Design, build, operationalize, secure, and monitor sophisticated data processing systems, with a strong emphasis on security, compliance, scalability, efficiency, reliability, fidelity, flexibility, and portability.
• Leverage, deploy, and continuously train existing machine learning models, and actively learn and implement new data storage and serving systems.
• Perform in-depth data analysis and profiling using various tools, custom infrastructure, or existing data models, while collaborating with clients to understand their needs and clarify requirements.
• Enable data-driven decision-making by expertly collecting, transforming, and publishing data.
• Create and consult on data visualizations and features using internal and external business intelligence tools.
• Develop and maintain robust data models, pipelines, and exchange formats to support data visualization, analysis, interpretation, and machine learning training.
• Consult with users, partners, and decision-makers to identify data sources, define required data elements, and establish data validation standards.
• Collaborate with application engineers to understand and influence logging and transactional storage, and partner with data scientists on machine learning training and feature engineering.

Skills

Code proficiency

Information gathering

Big data infrastructure

Machine learning concepts

Stakeholder management

Project management

Data exploration

ETL design

Data modeling

Statistics understanding

BI tools usage

Job description

Aquent is hiring a Data Engineer to design, build, and scale data infrastructure powering analytics and product development. You will independently drive end-to-end tasks on large-scale projects, translating complex business requirements into robust data solutions.

You will collaborate with data users, engineers, and data scientists to create pipelines, governance, and secure, scalable systems that enable data-driven decisions across the organization.