Senior Analytics Engineer: Scalable Data Pipelines

Unchain Data; Menlo Park (CA); On-site; USD 179,000 - 210,000; Full time

Benefits offered by this job

100% paid health insurance for employees

401(k) matching

Flexible benefits spending account

Job summary

Unchain Data in Menlo Park, CA, is seeking a Senior Analytics Engineer to design and develop high-performance ETL pipelines, data models, and analytics tools. The role involves partnering with product, engineering, and data science teams to ensure data-driven decision-making across the organization.

Successful candidates will have 5+ years in relevant fields, expertise in SQL and Python, and experience with Spark and ETL tools. Unchain Data offers performance-driven compensation and exceptional benefits.

Qualifications

• 5+ years of experience in Analytics Engineering, Data Engineering, Data Science, or similar field.
• Strong expertise in advanced SQL and Python scripting.
• Experience with Apache Spark for data processing.

Responsibilities

• Partner with cross-functional teams to deliver analytics initiatives.
• Design and maintain reliable ETL pipelines.
• Lead end-to-end development of analytics products.

Skills

Advanced SQL

Python scripting

Apache Spark (PySpark, Spark SQL)

Building ETL pipelines

Dashboarding with Superset, Looker, Tableau

Version control (GitHub)

Tools

Airflow

Job description

Unchain Data in Menlo Park, CA, is seeking a Senior Analytics Engineer to design and develop high-performance ETL pipelines, data models, and analytics tools. The role involves partnering with product, engineering, and data science teams to ensure data-driven decision-making across the organization.

Successful candidates will have 5+ years in relevant fields, expertise in SQL and Python, and experience with Spark and ETL tools. Unchain Data offers performance-driven compensation and exceptional benefits.