Automation Engineer

Astreya

Denver (CO)

Sur place

USD 90 000 - 130 000

Plein temps

14 jours+

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Résumé du poste

Astreya is seeking an automation and data engineering professional to design workflows, build ETL pipelines, and automate operational tasks from Denver. You will develop scalable tools to onboard partners, manage data, and monitor system health, contributing to an enterprise-wide automation initiative.

youll collaborate with cross-functional teams to ensure data integrity, implement API integrations, and deliver dashboards for leadership.

Qualifications

  • 3+ years in automation or data engineering.
  • Proficient in Python.
  • Experience building and consuming APIs (REST/GraphQL).
  • Strong SQL and data pipeline concepts.
  • Familiar with job scheduling/orchestration tools.
  • Experience with large datasets from multiple sources.
  • Strong problem solving and ability to work independently.
  • Nice to have PHP or Hack, graph databases, CRM/MDM.

Responsabilités

  • Design and implement automated workflows for partner onboarding, contact updates, service renewals, and data lifecycle management.
  • Create self-service tools for bulk data operations without engineering support.
  • Build automated alerting for stale data, missing information, or expiring service agreements.
  • Build ETL pipelines that synchronize partner data across internal systems.
  • Automate migration of legacy data into the centralized platform.
  • Develop reconciliation scripts to detect discrepancies between systems.
  • Build tools to auto-retrieve relevant partner contacts during network incidents.
  • Create automated escalation and outreach workflows triggered by network events.
  • Develop runbook automation to speed up repetitive tasks.
  • Build dashboards tracking data quality, freshness, and platform adoption.
  • Implement automated health checks and audit scripts to detect duplicates.
  • Create scheduled leadership reports on automation ROI and data integrity.

Connaissances

Python
APIs (REST/GraphQL)
SQL
Data pipelines/ETL
Airflow/cron
Data quality
Problem solving
Independent work

Outils

Airflow
Cron
Thrift RPC
CRM/MDM platforms

Description du poste

Our client's global network infrastructure relies on thousands of external partners — internet

service providers (ISPs), colocation facilities, hardware vendors, and managed service

providers. We're building a centralized platform to manage all of these relationships,

contacts, and service data in one place.

What You'll Do
Build Workflow Automation
  • Design and implement automated workflows for partner onboarding, contact updates, service renewals, and data lifecycle management.
  • Create self-service tools that allow operations teams to perform bulk data operations without needing engineering support.
  • Build automated alerting for stale data, missing information, or expiring service agreements.
Develop Data Pipelines & Integrations
  • Build ETL pipelines that synchronize partner data across multiple internal systems.
  • Automate the migration of legacy data from spreadsheets, wikis, and siloed databases into the centralized platform.
  • Develop reconciliation scripts to detect discrepancies between systems and maintain data consistency.
Automate Operational Processes
  • Build tools that auto-retrieve relevant partner contacts during network incidents, reducing response time.
  • Create automated escalation and outreach workflows triggered by network events.
  • Develop runbook automation to standardize and speed up repetitive operational tasks.
Monitor & Report
  • Build dashboards tracking data quality, freshness, and platform adoption.
  • Implement automated health checks and audit scripts to detect duplicates, orphaned records, or incomplete entries.
  • Create scheduled reports for leadership on automation ROI and data integrity metrics.
Qualifications:
  • 3+ years experience in automation engineering, data engineering
  • Strong proficiency in Python
  • Experience building and consuming APIs (REST and/or GraphQL)
  • Familiarity with SQL and data pipeline/ETL concepts
  • Experience with job scheduling and orchestration tools (Airflow, cron, or similar)
  • Understanding of data quality principles (validation, deduplication, reconciliation)
  • Comfortable working with large datasets across multiple source systems
  • Strong problem-solving skills and ability to work independently
Preferred:
  • Experience with PHP or Hack (server-side scripting)
  • Familiarity with graph databases or relationship/entity management systems.
  • Experience with CRM, MDM (Master Data Management), or vendor management platforms.
  • Understanding of network infrastructure concepts (ISPs, peering, colocation, Points of Presence).
  • Experience with Thrift or similar RPC frameworks.
  • Background in telecom, network operations, or infrastructure services.
  • Experience automating processes in a large-scale enterprise environment.
  • Area Technologies
  • Scripting & Automation Python, PHP/Hack, Bash
  • Data & Pipelines SQL, Hive/Presto (data warehouse), ETL tooling
  • Orchestration Scheduled jobs, event-driven triggers
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