Apptad- Data Engineer Job at Apptad Inc, Remote

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  • Apptad Inc
  • Remote

Job Description

We are seeking two experienced Data Engineers to support a platform modernization initiative focused on data quality, observability, and pipeline reliability. This is a fully remote role requiring strong expertise in SQL, Python, Airflow , and monitoring tools like Monte Carlo and Datadog .

Key Responsibilities:

Core Technical Skills

  • Develop and manage complex SQL queries in Snowflake and Databricks
  • Build and automate ETL workflows and alert tooling using Python
  • Create and manage Airflow DAGs , handle dependencies, and tune alerting
  • Use Git , perform code reviews, and manage CI/CD pipelines

Monitoring & Observability

  • Configure and optimize Monte Carlo alerts
  • Integrate observability tools like Airflow , Datadog , etc.
  • Conduct root cause analysis for data quality issues and alert noise

Platform Migration & Stability

  • Support migration from legacy to modern data platforms
  • Debug upstream data dependencies and ensure pipeline reliability
  • Facilitate pipeline handoffs with proper documentation and process alignment

Process & Documentation

  • Maintain technical documentation , including wikis, runbooks, and alert response guides
  • Collaborate with cross-functional teams (FDE, Data Infra, Storefront, CX, GCO)
  • Support data governance practices, including ownership tracking and compliance

Infrastructure Hygiene

  • Deprecate unused tables and pipelines in Snowflake and Salesforce
  • Consolidate alerts and streamline monitoring logic

Must-Have Skills:

  • Strong experience with Snowflake , Databricks , Python , and Airflow
  • Familiarity with Monte Carlo , Datadog , or similar tools
  • Solid knowledge of CI/CD pipelines and version control (Git)
  • Proven ability to troubleshoot pipeline issues and reduce false alerting
  • Excellent documentation and cross-team communication skills

Job Tags

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