Remote Data Engineer I: Build Scalable Pipelines & Cloud

Agence PROvidence; Portland (OR); Remote; USD 94,000 - 145,000; Full time

Benefits offered by this job

Health benefits

401(k) matching

Life insurance

Disability insurance

Paid time off

Well-being resources

Job summary

Providence is hiring a Data Engineer I to design and operate data-centric applications across the healthcare system. You will build scalable data pipelines, automate monitoring, and support product/analytics teams while ensuring security and cost-efficiency of the enterprise data platform.

You will collaborate with Product, Platform, and Architecture teams, mentor junior engineers, and help adopt emerging technologies to accelerate delivery while maintaining reliable SLAs.

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.
• Experience with cloud computing and data warehousing on relational platforms.
• Strong SQL, plus hands-on Python and shell scripting on Linux.
• Knowledge of semi/unstructured data (JSON/Parquet) and API integrations.
• Familiarity with open-source ELT/ETL tooling.
• Git-based workflows and CI/CD basics for data deployments.
• Experience building and managing data ingestion pipelines from multiple sources into cloud data platforms.
• Working knowledge of Snowflake, including database objects, warehouses, and basic query optimization.

Responsibilities

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

Skills

SQL

Python

Shell scripting

Linux

Cloud computing

Data warehousing

APIs

Git/CI-CD

Education

Bachelor’s in CS/Engineering or equivalent

Master’s degree (preferred)

Tools

Snowflake

Ctrl-M

Fivetran

HVR

ADF

Job description

Providence is hiring a Data Engineer I to design and operate data-centric applications across the healthcare system. You will build scalable data pipelines, automate monitoring, and support product/analytics teams while ensuring security and cost-efficiency of the enterprise data platform.

You will collaborate with Product, Platform, and Architecture teams, mentor junior engineers, and help adopt emerging technologies to accelerate delivery while maintaining reliable SLAs.