Senior Data Engineer: Scalable Pipelines & Insights

Astreya Partners, LLC; Fremont (CA); On-site; USD 114,000 - 180,000; Full time

Benefits offered by this job

Medical coverage (UHC)

Dental coverage (UHC)

Vision coverage (UHC)

Tuition Reimbursement

Paid Time Off

Paid Holidays

Job summary

Astreya Partners, LLC is seeking a Data Engineer to expand and optimize our data pipeline architecture and data delivery across cross-functional teams in Fremont, CA. You will support analysts on data initiatives and help ensure scalable, reliable data infrastructure.

The role requires strong ETL, SQL/NoSQL, and Hadoop-based tooling experience, with 5–8 years in similar roles and a Bachelor’s degree. You will work with multiple stakeholders to deliver actionable insights and drive data-driven

Qualifications

• Bachelor’s degree with 5–8 years of related experience or equivalent
• Proficiency in SAS, Python, Java, and MatLab ETL concepts
• Experience with SQL and NoSQL data warehousing tools and UNIX/Linux environments
• Strong judgment in selecting methods and techniques for solutions
• Familiarity with Javascript and R; basic ML knowledge

Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets meeting business requirements
• Identify and implement internal process improvements for data delivery and scalability
• Build infrastructure for ETL from diverse data sources
• Develop analytics tools to derive insights on customer acquisition and operations
• Collaborate with executives, product, data, and design teams on data issues

Skills

SAS

Python

Java

MatLab

ETL

SQL

NoSQL

Hadoop

MapReduce

Hive

Presto

Unix/Linux

JavaScript

R

Machine Learning

Education

Bachelor's degree (B.S./B.A.)

Tools

Hadoop

MapReduce

Hive

Presto

SQL

NoSQL

Job description

Astreya Partners, LLC is seeking a Data Engineer to expand and optimize our data pipeline architecture and data delivery across cross-functional teams in Fremont, CA. You will support analysts on data initiatives and help ensure scalable, reliable data infrastructure.

The role requires strong ETL, SQL/NoSQL, and Hadoop-based tooling experience, with 5–8 years in similar roles and a Bachelor’s degree. You will work with multiple stakeholders to deliver actionable insights and drive data-driven