Automation Engineer — Network Partner Data Platform
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
- 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.
- 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.
- 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.
- 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.
Tech Stack
Area Technologies
- Scripting & Automation: Python, PHP/Hack, Bash
- APIs: GraphQL, REST, Thrift (RPC)
- Data & Pipelines: SQL, Hive/Presto (data warehouse), ETL tooling
- Monitoring & Dashboards: Time‑series metrics, log analytics, custom dashboards
- Orchestration: Scheduled jobs, event‑driven triggers
Salary Range
$72,960.00 - $115,200.00 USD (Base salary). The salary information provided herein is base pay only (gross) and does not include other forms of compensation, benefits‑related payments, or other general incentives which are not guaranteed.
Benefits
Astreya offers comprehensive benefits to all Regular, Full‑Time Employees, including:
- Medical (UHC PPO, HSA, Surest options) / (Kaiser HMO for California employees only)
- Dental (UHC)
- Nationwide Vision (UHC)
- Flexible Spending Account for Health & Dependent Care
- Pre‑Tax Account for Commuter Benefit/ Parking & Transit (location‑specific)
- Continuing Education and Professional Development via platforms such as Udemy and Coursera
- Corporate Wellness Program (Goomi Group)
- Employee Assistance Program
- Wellness Days
401(k) Plan
- Basic and Supplemental Life Insurance
- Short Term & Long Term Disability
- Critical Illness, Critical Hospital, and Voluntary Accident Insurance
- Tuition Reimbursement (available 6 months after start date, capped)
- Paid Time Off (accrued and prorated, maximum 120 hours annually)
- Paid Holidays
- Any other statutory leaves, paid time, or other ancillary benefits required under state and federal law