Senior Data Pipeline Architect for Insights & Scalability

Jobtailor; Fremont (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor in Fremont, CA is seeking a data engineer to create and maintain efficient data pipelines, assemble large datasets, and drive data-driven decision-making. You will design infrastructure for scalable data extraction and transformation, building analytics tools and collaborating with cross-functional teams to improve data systems and deliver actionable insights.

The role requires a Bachelor's degree and 5–8 years of related experience, with proficiency in SAS, Python, Java, and MatLab,

Qualifications

• Bachelor’s degree and 5–8 years related experience or equivalent
• Proficiency in SAS, Python, Java, and MatLab
• ETL (Extract, Transform, and Load)
• SQL and NoSQL databases
• Data Warehousing: Hadoop, MapReduce, HIVE, Presto
• UNIX/Linux operating systems
• Ability to communicate effectively

Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets meeting business requirements
• Identify and implement internal process improvements and automation
• Build infrastructure for data extraction, transformation, and loading
• Develop analytics tools to provide actionable insights on KPIs
• Collaborate with executives and cross-functional teams on data needs
• Create data tools to help analytics production
• Improve data systems with data and analytics experts
• Perform other duties as required

Skills

Effective Communication

Good Judgment

Data Analysis

Education

Bachelor’s degree

Tools

SAS

Python

Java

MatLab

ETL

SQL

NoSQL

Hadoop

MapReduce

HIVE

Presto

UNIX

Linux

Job description

Jobtailor in Fremont, CA is seeking a data engineer to create and maintain efficient data pipelines, assemble large datasets, and drive data-driven decision-making. You will design infrastructure for scalable data extraction and transformation, building analytics tools and collaborating with cross-functional teams to improve data systems and deliver actionable insights.

The role requires a Bachelor's degree and 5–8 years of related experience, with proficiency in SAS, Python, Java, and MatLab,