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Data Engineer

PeopleNTech LLC

  • Alexandria, VA
  • 30+ days ago
  • Remote
  • $72 Per Hour

Highlights

What You'll Be Working On: Ingesting raw infrastructure and monitoring data from tools such as: DC Track, NetBox, Shipyard, Kentik, ThousandEyes, Electric Eel. Collaborate with engineering, SRE, Capacity, and operations teams to align on source systems and field mappings.

Numbers & Facts

LocationAlexandria, VA (
Remote
)

Description

Role : Data Engineer
Location : Remote
Hire type : Contract
Rate : $72/hr.
Indents :
SF_OP_203238-1-1
SF_OP_203238-1-2
SF_OP_203238-1-3

What You'll Be Working On:
  • Ingesting raw infrastructure and monitoring data from tools such as:
    • DC Track, NetBox, Shipyard, Kentik, ThousandEyes, Electric Eel
    • PagerDuty, Sentry, internal alerting systems
  • Modeling and transforming that data within Snowflake to support consistent analytics
  • Building data models and views to support:
    • GPU and CPU capacity snapshots (hourly, daily, weekly)
    • Real-time and historical Top-K alert and response visibility
    • Signal-to-noise metrics, SLA tracking, and incident traceability
  • Enabling visualization through Looker and Grafana for different stakeholder audiences
  • Supporting "What-If” modeling scenarios for forecasting infrastructure runway
What We'll Expect From You:
  • Build scalable data pipelines to collect and transform structured and unstructured operational data
  • Define Snowflake schemas and transformation logic to support current and future reporting use cases
  • Collaborate with engineering, SRE, Capacity, and operations teams to align on source systems and field mappings
  • Support interim manual data ingestion efforts while longer-term automation is developed
  • Proactively identify data quality issues and improve reliability of dashboard inputs
  • Move fast, iterate weekly, and help validate early dashboard concepts into production-grade systems
Skills & Experience:
  • Strong experience with Snowflake (or similar cloud data warehouse platforms)
  • Proficient in SQL and data modeling best practices
  • Experience building data pipelines using Python, dbt, or similar tools
  • Familiarity with Looker, Grafana, or other BI tools for dashboarding
  • Experience working with infrastructure, alerting, or monitoring systems is a strong plus
  • Ability to work in an iterative, fast-paced environment with minimal oversight
  • Strong communication and collaboration skills, particularly with distributed teams


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