Workflow Automation Engineer - Data Pipelines

Astreya

United States

On-site

USD 110,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Medical and dental coverage
Vision plan
401k plan
Paid time off

Job summary

Astreya is building a centralized platform to manage partner data, relationships, and service data across networks. We seek an Automation Engineer/Data Engineer to design workflows, ETL pipelines, and self-service tools for operations teams.

Join a team delivering automated data quality checks, dashboards, and incident-driven automation, enabling faster response to network events and data discrepancies.

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 APIs (REST and/or GraphQL).
  • Familiarity with SQL and data pipeline concepts.
  • Experience with job scheduling and orchestration tools like Airflow or cron.
  • Understanding of data quality, validation, deduplication, and reconciliation.
  • Comfortable handling large datasets across multiple source systems.

Responsibilities

  • Build automated workflows for partner onboarding, contact updates, service renewals, and data lifecycle management.
  • Create self-service tools enabling bulk data operations without engineering support.
  • Set up automated alerts for stale data, missing information, or expiring service agreements.
  • Develop ETL pipelines to synchronize partner data across internal systems.
  • Automate migration of legacy data from spreadsheets and silos into the central platform.
  • Create dashboards tracking data quality, freshness, and platform adoption.

Skills

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

Tools

Airflow
Cron
ETL tooling
Bash

Job description

Astreya is building a centralized platform to manage partner data, relationships, and service data across networks. We seek an Automation Engineer/Data Engineer to design workflows, ETL pipelines, and self-service tools for operations teams.

Join a team delivering automated data quality checks, dashboards, and incident-driven automation, enabling faster response to network events and data discrepancies.

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