Senior Data Engineer - Finance Data Pipelines

United States Digital Space LLC; Menlo Park (CA); Hybrid; USD 196,000 - 230,000; Full time

Benefits offered by this job

100% paid health insurance for employees

Flexible benefits spending account

401(k) matching

Catered meals and comfortable workspaces

Job summary

United States Digital Space LLC located in Menlo Park, CA, is seeking a Senior Data Engineer to lead the design and evolution of key datasets vital for product and company metrics. This pivotal role involves creating scalable data pipelines and ensuring high-quality data availability.

The ideal candidate will bring 5+ years of experience in end-to-end data pipeline development, with strong proficiency in Python and SQL. The company values in-person collaboration to foster innovation and community, with a flexible hybrid work model.

Qualifications

• 5+ years of professional experience building end-to-end data pipelines.
• Strong hands-on software engineering background, particularly in Python.
• Expertise in SQL and data stack problem-solving.

Responsibilities

• Design and build core datasets for product performance tracking.
• Develop scalable data pipelines for data ingestion.
• Collaborate with application engineers to improve data generation.

Skills

Data pipeline development

Python programming

SQL proficiency

Collaboration

Data modeling

Tools

Spark

Airflow

Job description

United States Digital Space LLC located in Menlo Park, CA, is seeking a Senior Data Engineer to lead the design and evolution of key datasets vital for product and company metrics. This pivotal role involves creating scalable data pipelines and ensuring high-quality data availability.

The ideal candidate will bring 5+ years of experience in end-to-end data pipeline development, with strong proficiency in Python and SQL. The company values in-person collaboration to foster innovation and community, with a flexible hybrid work model.