Network Automation Engineer

Astreya; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

Astreya is seeking an Automation/Data Engineering professional to design and implement automated workflows for partner onboarding, data updates, and renewals. You will build ETL pipelines, automate data migrations from legacy sources, and create reconciliation scripts to ensure data integrity across systems.

The role emphasizes self-service tooling, automated alerts, and runbooks to standardize operations. You’ll work with Python, APIs, SQL, and scheduling tools in a large enterprise setting.

Qualifications

• 3+ years experience in automation engineering, data engineering, or DevOps.
• Strong Python skills for scripting, API integrations, and data manipulation.
• Experience building and consuming REST and GraphQL APIs.
• Familiarity with SQL and data pipeline/ETL concepts.
• Experience with job scheduling and orchestration tools (Airflow, cron).
• Understanding data quality principles and working with large datasets.

Responsibilities

• Design and implement automated workflows for partner onboarding, contact updates, service renewals, and data lifecycle.
• Create self-service tools for bulk data operations without engineering support.
• Build automated alerting for stale data, missing information, or expiring SLAs.
• Develop ETL pipelines to 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 partner contacts during incidents and improve response time.
• Create automated escalation and outreach workflows triggered by events.
• Develop runbooks to standardize repetitive operational tasks.

Skills

Automation

Python

APIs

SQL

ETL concepts

Airflow

Data quality

Data pipelines

Problem solving

Tools

Airflow

Cron

REST APIs

Job description

About the Role

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

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

What We're Looking For

Required:

• 3+ years experience in automation engineering, data engineering, or DevOps
• Strong proficiency in Python (scripting, API integrations, data manipulation)
• 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
• Monitoring & Dashboards Time-series metrics, log analytics, custom
• Orchestration Scheduled jobs, event-driven triggers