Remote Data Engineer I — Cloud Pipelines

Providence; Lubbock (TX); Remote; USD 47,000 - 74,000; Full time

Job summary

Providence is seeking a Data Engineer I to design and build modern data-centric applications supporting clinical and operational workflows across the healthcare system. You will own reliability, security, and cost-efficiency of the enterprise data platform, automating pipelines and ensuring SLAs with analytics teams.

You will collaborate with Product, Platform, and Architecture teams, mentor junior engineers, and contribute to repeatable processes and templates using cloud technologies,

Qualifications

• Bachelor’s in CS/Engineering or equivalent experience; senior‑level hands‑on ownership of production data operations.
• 1+ year of related experience in Snowflake, CTRL‑M, and ADF.

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 (in 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 (rotational).

Skills

SQL

Python

Shell scripting

Linux

Cloud computing

Data warehousing

ETL/ELT tooling

Git CI/CD

Snowflake

API integrations

Education

Bachelor’s in CS/Engineering

Master's degree in CS/Engineering

Tools

Ctrl-M

Fivetran

HVR

ADF

Snowflake

Job description

Providence is seeking a Data Engineer I to design and build modern data-centric applications supporting clinical and operational workflows across the healthcare system. You will own reliability, security, and cost-efficiency of the enterprise data platform, automating pipelines and ensuring SLAs with analytics teams.

You will collaborate with Product, Platform, and Architecture teams, mentor junior engineers, and contribute to repeatable processes and templates using cloud technologies,