AIML Data Engineer

Apple Inc.; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Apple Inc. is hiring an AIML Data Engineer in Austin, TX to build and maintain the data foundation powering ACCI's AI/ML initiatives.

You will ingest and transform support interaction data, orchestrate scoring workflows, and deliver telemetry, while partnering with teams to diagnose trends and surface actionable insights for leadership. The role combines data engineering with analytics, involving pipeline orchestration, model feature engineering, telemetry analytics, and investigative analysis

Qualifications

• Bachelor's degree or equivalent experience in CS/Data Science/Engineering
• 4+ years in data engineering or analytics engineering
• Strong SQL and Python skills for data engineering and analytics
• Experience with cloud data platforms (Snowflake, Databricks) and ETL/ELT tooling
• Experience with pipeline orchestration (dbt, Airflow, Prefect) and CI/CD practices
• Ability to translate data findings into actionable recommendations

Responsibilities

• Design, build, and maintain scalable data pipelines ingesting support interaction data
• Engineer features and data transformations for AI consumption and prompt context assembly
• Build telemetry pipelines to track model performance and data quality across AIML workstreams
• Develop and operate pipeline orchestration workflows for reliable data delivery
• Implement data quality checks, validation, and monitoring at ingestion points
• Create monitoring and alerts for pipeline health, latency, and failures
• Integrate with upstream sources (Snowflake, enterprise systems) and downstream dashboards
• Conduct root cause analysis when CXI scores or CSAT shift and surface findings
• Partner with program managers on targeted investigations and cohort analysis
• Surface anomalies and trends from pipeline telemetry before escalations

Skills

SQL

Python

Airflow

dbt

Git

CI/CD

Education

Bachelor's degree in CS, Data Science, or related field

Tools

Snowflake

Databricks

Kafka

Tableau

Job description

Austin, Texas, United States Software and Services

Are you passionate about building the data infrastructure that powers AI-driven customer experience measurement — and using that data to uncover the \"why\" behind the numbers? The AppleCare Customer Insights (ACCI) team is redefining how Apple measures and improves generative support experiences. Our AIML initiatives use large language models to evaluate support conversations across multiple quality dimensions, providing real-time signal to leadership on how our AI-powered support is performing. We are seeking an AIML Data Engineer to own the data pipelines, feature engineering, and telemetry infrastructure that underpin our AIML portfolio — while also serving as a hands-on analytics partner who conducts root cause analysis, targeted investigations, and data-driven deep dives that translate pipeline outputs into actionable insights for program managers and leadership.

Description

The AIML Data Engineer builds and maintains the data foundation that powers ACCI's AI/ML initiatives, and turns that foundation into insight. You will design and implement pipelines that ingest support conversation data, transform it into model-ready formats, orchestrate scoring workflows, and deliver telemetry — then go a step further by partnering with program managers to investigate trends, diagnose performance shifts, and surface the stories in the data that drive decisions. This is a full-stack engineering-and-analytics role that consolidates data pipeline orchestration, model feature engineering, telemetry analytics, and investigative analysis into a single high-impact position.

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

Minimum 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

Preferred Qualifications

• Experience building data pipelines supporting LLM-based systems (RAG, scoring, evaluation)


• Experience with data visualization and storytelling (Tableau, Streamlit, or similar)


• Familiarity with NLP data preparation — tokenization, embedding generation, prompt engineering data flows


• Experience with streaming or event-driven data architectures (Kafka or similar)


• Experience with data quality and observability tools (Great Expectations, Monte Carlo, or similar)


• Understanding of concept drift detection and model monitoring pipelines


• Experience supporting program or product teams with investigative analytics in a customer experience domain

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

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Apple accepts applications to this posting on an ongoing basis.