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AIML Data Engineer

Apple· Software and Services
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Austin, TXfull-timePosted 1mo ago

About the role

AIML Data Engineer responsible for building and maintaining data pipelines, feature engineering, and telemetry infrastructure to support ACCI's AIML initiatives, with analytics partnerships to translate pipeline outputs into actionable insights for program managers and leadership.

Responsibilities

  • Design, build, and maintain scalable data pipelines that ingest, transform, and deliver support interaction data to LLM-based scoring systems
  • Engineer features and data transformations that prepare conversation data for AI consumption — metadata enrichment, schema normalization, and prompt context assembly
  • Build and maintain telemetry pipelines that track model performance, scoring accuracy, and concept drift across LLM-based auto evaluation dimensions
  • Develop and operate pipeline orchestration workflows ensuring reliable, timely data delivery across multiple AIML workstreams
  • Implement data quality checks, validation, and monitoring at pipeline ingestion points
  • Build monitoring and alerting for pipeline health, data freshness, scoring latency, and load failures
  • Integrate with upstream data sources (Snowflake, enterprise support systems) and downstream consumers (dashboards, executive reporting, model retraining)
  • Conduct root cause analysis when CXI scores, CSAT, or other metrics shift, diagnosing whether changes are data-driven, model-driven, or reflect real customer experience changes
  • Partner with program managers on targeted investigations: identifying cohorts, isolating variables, and quantifying impact of specific support experiences
  • Proactively surface anomalies, trends, and opportunities from pipeline telemetry before they become escalations

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field (or equivalent experience)
  • 4+ years of experience in data engineering or analytics engineering
  • Strong proficiency in SQL and Python for both data engineering and analytical investigation
  • Experience with cloud data platforms (Snowflake, Databricks, or similar)
  • Experience with ETL/ELT tools and pipeline orchestration (dbt, Airflow, Prefect, or similar)
  • Demonstrated ability to conduct root cause analysis and translate data findings into actionable recommendations
  • Experience with version control (Git) and CI/CD practices

Skills

Required:SQLPythonSnowflakeDatabricksETL/ELT tools
Nice to have:Data quality & observabilityNLP data preparationExperimentation/analytics storytelling

Benefits

  • Apple is an equal opportunity employer with inclusive benefits and accessibility considerations (per job description)
Last updated Sep 4, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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