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Automation Engineer

Job in Fremont, Alameda County, California, 94537, USA
Listing for: Astreya
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

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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