Remote Data Engineer I: Cloud Pipelines & Insights

Socket.dev; Napa (CA); Remote; USD 110,000 - 170,000; Full time

Job summary

Providence Data Engineering is seeking a Data Engineer I to design and maintain scalable data pipelines across cloud services and Snowflake. You will collaborate with Product, Platform, and Architecture teams to ensure reliable, secure data operations and cost efficiency.

You’ll own automation, monitoring, and observability, while mentoring junior engineers and contributing to best-practice templates for production data operations.

Qualifications

• Bachelor’s in CS/Engineering or equivalent experience.
• 1+ year of related experience in Snowflake, CTRL-M, and ADF.
• Nice-to-have Snowflake administration and related data-management skills.

Responsibilities

• Automation and monitoring batch/streaming ELT/ETL pipelines across cloud services and Snowflake; keep data fresh and accurate.
• Triaging failures, performing root-cause analyses and post-mortems, and continuously reducing MTTR.
• Orchestrating schedules and dependencies (e.g., Ctrl-M) and managing connectors (Fivetran/HVR).
• Building operational automation with SQL, Python, and shell on Linux.
• Implementing observability: logging, alerting, data-quality checks, audits, and runbooks.
• Optimizing Snowflake performance and spend (warehouses, caching).
• Enforcing access controls and secrets management, supporting compliance and audit needs.
• Partnering with product/analytics teams; documenting procedures and providing reliable on-call support.

Skills

SQL

Python

Shell scripting

Linux

Cloud data platforms

Data warehousing

ETL/ELT tooling

Git/CI-CD

Data ingestion pipelines

Snowflake basics

Education

Bachelor’s in CS/Engineering

Tools

Ctrl-M

Fivetran/HVR

Snowflake

ADF

Job description

Providence Data Engineering is seeking a Data Engineer I to design and maintain scalable data pipelines across cloud services and Snowflake. You will collaborate with Product, Platform, and Architecture teams to ensure reliable, secure data operations and cost efficiency.

You’ll own automation, monitoring, and observability, while mentoring junior engineers and contributing to best-practice templates for production data operations.