Senior Data Engineer (Snowflake)

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

Role overview

Design and evolve data architectures that support analytics, machine learning, and data-driven products. You’ll build and optimize production pipelines, data models, and integrations, taking responsibility for data quality, reliability, security, and performance across the delivery lifecycle. The position is fully remote and described as a full-time engagement.

Responsibilities

• Develop and maintain Python-based ETL processes and write efficient SQL for extracting and transforming data.
• Build and optimize large-scale pipelines and warehouse solutions using Databricks and Snowflake.
• Automate data delivery, validation, augmentation, and other processing workflows.
• Translate stakeholder needs into scalable data solutions and develop APIs that supply data models.
• Partner with AI and machine learning engineers to identify data sources, gaps, and dependencies when implementing features.
• Monitor and troubleshoot performance and data integrity; build scalable infrastructure using SQL and AWS data technologies, while following applicable data-handling rules.

Requirements

• At least five years of professional experience delivering production-quality software.
• Strong computer science fundamentals, including databases, data structures, operating systems, networking, and object-oriented programming.
• Experience with Python, SQL, and relational and NoSQL databases such as Postgres, Cassandra, or MongoDB.
• Strong experience with Databricks and Snowflake, plus a cloud platform such as AWS, GCP, or Azure.
• Experience with data processing or orchestration tools such as Spark or Airflow.
• Proven ability to work with large and unstructured datasets, use Git, and communicate effectively in English.

Nice to have

• Familiarity with graph data modeling or graph databases such as Neo4j.

Benefits and work setup

• Equity participation
• paid time off
• an annual retreat
• a company-wide winter break
• education support
• optional in-person meetups
• individualized career roadmaps are listed.