Remote Senior Data Engineer — Snowflake & Databricks

factored; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity participation

Paid time off

Annual retreat

Winter break

Education support

Optional in-person meetups

Individualized career roadmaps

Job summary

factored seeks a senior data engineer to design and evolve data architectures supporting analytics, ML, and data-driven products. You’ll build production pipelines, data models, and integrations with a focus on data quality, reliability, security, and performance.

This is a fully remote, full-time role. Responsibilities include Python-based ETL, SQL work, Databricks and Snowflake pipelines on AWS, and collaborating with AI/ML engineers to deliver scalable data solutions.

Qualifications

• Five+ years of professional experience delivering production-quality software.
• Strong CS fundamentals: databases, data structures, OS, networking, OOP.
• Experience with Python, SQL, and relational and NoSQL databases (e.g., Postgres, Cassandra, MongoDB).
• Extensive experience with Databricks and Snowflake; cloud platform (AWS/GCP/Azure).
• Experience with data processing/orchestration tools such as Spark or Airflow.
• Ability to work with large datasets, use Git, and communicate in English.

Responsibilities

• Develop and maintain Python-based ETL processes and write efficient SQL for data extraction/transformation.
• Build and optimize large-scale pipelines and warehousing using Databricks and Snowflake.
• Automate data delivery, validation, augmentation, and other processing workflows.
• Translate stakeholder needs into scalable data solutions and APIs.
• Collaborate with AI/ML engineers to identify data sources and dependencies.
• Monitor performance and data integrity; build scalable infrastructure using SQL and AWS data tech, following data-handling rules.

Skills

Python

SQL

Databases

NoSQL

Databricks

Snowflake

Cloud platforms (AWS/GCP/Azure)

Airflow / Spark

Git

English communication

Tools

Databricks

Snowflake

AWS

GCP

Azure

Spark

Airflow

PostgreSQL

MongoDB

Cassandra

Job description

factored seeks a senior data engineer to design and evolve data architectures supporting analytics, ML, and data-driven products. You’ll build production pipelines, data models, and integrations with a focus on data quality, reliability, security, and performance.

This is a fully remote, full-time role. Responsibilities include Python-based ETL, SQL work, Databricks and Snowflake pipelines on AWS, and collaborating with AI/ML engineers to deliver scalable data solutions.