Remote Data Engineer (Snowflake Pipelines)

Prominence Advisors

United States

On-site

USD 110,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Fully remote company
15 days PTO + 16 holidays
Health plans
401k
Professional Development fund
Signing bonuses

Job summary

Prominence Advisors is seeking a Data Engineer (Snowflake) to design, build, and optimize data pipelines for healthcare and life sciences clients. You will transform diverse data sources (EHRs, claims, APIs) into analytics-ready Snowflake structures and work closely with client teams to ensure scalable, cost-efficient solutions.

The role emphasizes production-grade data workflows, DevOps integration, and clear communication across stakeholders.

Qualifications

  • 3+ years of professional experience in data engineering or related roles.
  • 2+ years of hands-on Snowflake in production environments with sizing, cost management, and data loading patterns.
  • Proficiency in Python or another programming/scripting language (Scala/Java).
  • Experience with transformation/orchestration in Snowflake using dbt, Snowflake Streams & Tasks, Snowpark, or Airflow.
  • Solid grounding in ETL/ELT, dimensional modelling, and data warehousing concepts.
  • Experience with at least one major cloud provider (AWS, Azure, or GCP) and networking basics for Snowflake.

Responsibilities

  • Design, build, and maintain data pipelines and workflows to enable analytics-ready data.
  • Transform raw sources into clean, reliable, and scalable data streams.
  • Explain tradeoffs and collaborate with client architects and analysts to deliver value.

Skills

SQL
Python
ETL/ELT principles
Data modeling
DevOps practices
Clear communication

Tools

Snowflake
dbt
Snowflake Streams & Tasks
Airflow
Snowpark
Terraform

Job description

Prominence Advisors is seeking a Data Engineer (Snowflake) to design, build, and optimize data pipelines for healthcare and life sciences clients. You will transform diverse data sources (EHRs, claims, APIs) into analytics-ready Snowflake structures and work closely with client teams to ensure scalable, cost-efficient solutions.

The role emphasizes production-grade data workflows, DevOps integration, and clear communication across stakeholders.

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